| { | |
| "paper_id": "O11-3004", | |
| "header": { | |
| "generated_with": "S2ORC 1.0.0", | |
| "date_generated": "2023-01-19T08:05:34.811860Z" | |
| }, | |
| "title": "Evaluating the Information Retrieval Performance of Query Expansion Method and On-line Search Engine on General Query", | |
| "authors": [ | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "\u8a31\u5fd7\u5168", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "\u671d\u967d\u79d1\u6280\u5927\u5b78\u8cc7\u5de5\u7cfb Chaoyang University of Technology", | |
| "location": { | |
| "settlement": "Taichung", | |
| "country": "Taiwan" | |
| } | |
| }, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Chih-Chuan", | |
| "middle": [], | |
| "last": "Hsu", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "\u671d\u967d\u79d1\u6280\u5927\u5b78\u8cc7\u5de5\u7cfb Chaoyang University of Technology", | |
| "location": { | |
| "settlement": "Taichung", | |
| "country": "Taiwan" | |
| } | |
| }, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Shih-Hung", | |
| "middle": [], | |
| "last": "Wu", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "\u671d\u967d\u79d1\u6280\u5927\u5b78\u8cc7\u5de5\u7cfb Chaoyang University of Technology", | |
| "location": { | |
| "settlement": "Taichung", | |
| "country": "Taiwan" | |
| } | |
| }, | |
| "email": "[email protected]" | |
| } | |
| ], | |
| "year": "", | |
| "venue": null, | |
| "identifiers": {}, | |
| "abstract": "Users might use general terms to query the information in need, when the exact keyword is unknown. We treat these inexact query terms as general queries. In this paper, we consturct a test data set to evaluate the performance of online search engine on searching Wikipedia with general queries and exact queries. We also proposed a new query expansion method that performs better on general queries. The Wikipedia query expansion method is regarding the Wikipedia as a thesaurus to find candidates of query expansion. The expanded queries are then combined with the pseudo relevance feedback. The performance of this method is better than online search engine on the general queries.", | |
| "pdf_parse": { | |
| "paper_id": "O11-3004", | |
| "_pdf_hash": "", | |
| "abstract": [ | |
| { | |
| "text": "Users might use general terms to query the information in need, when the exact keyword is unknown. We treat these inexact query terms as general queries. In this paper, we consturct a test data set to evaluate the performance of online search engine on searching Wikipedia with general queries and exact queries. We also proposed a new query expansion method that performs better on general queries. The Wikipedia query expansion method is regarding the Wikipedia as a thesaurus to find candidates of query expansion. The expanded queries are then combined with the pseudo relevance feedback. The performance of this method is better than online search engine on the general queries.", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Abstract", | |
| "sec_num": null | |
| } | |
| ], | |
| "body_text": [ | |
| { | |
| "text": "\u5728\u672c\u7bc7\uf941\u6587\u4e2d\uff0c\u6211\u5011\u5c07\u8a55\u4f30\u8cc7\u8a0a\u6aa2\uf96a\u7cfb\u7d71\u9762\u5c0d\u4e00\u500b\u666e\u904d\u767c\u751f\u7684\u60c5\u6cc1", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "\u7814\u7a76\u52d5\u6a5f", | |
| "sec_num": "1." | |
| }, | |
| { | |
| "text": ")\u3001NACSIS Test Collection for IR Systems (NTCIR) (Manning , Raghavan & Sch\u00fctze, 2008) \uff0c\u9019\u4e9b\u6a5f\u69cb\u8207 TREC \u6bcf\u5c46\u90fd\u6703\u8209\ufa08\u5404\u7a2e\uf967\u540c\u7684\u8cc7\u8a0a\u6aa2\uf96a\u4efb\u52d9 (Harman, 2005) (Ferro & Peters, 2008) (Kando, 2007) (\u9673\u5149\u83ef, 2001) (\u9673\u5149\u83ef, 2004) (Chen & Chiang, 2000) (Craswell & Hawking, 2004) \u3001Terabyte Track (B\u00fcttcher , Clarke & Soboroff 2006) \u3001Blog Track (Ounis & Soboroff, 2008) \uff0cCLEF \u7684 WebCLEF (Jijkoun & Rijke, 2007) (\u9673\u5149\u83ef, 2001) (\u9673\u5149\u83ef, 2004) ( Chen & Chiang, 2000 (Harman, Braschler, Hess, Kluck, Peters & Sch\u00e4uble, 2001 )\uff0cTREC \u7684 \u4f5c\u6cd5\u88ab\u8996\u70ba\u8cc7\u8a0a\u6aa2\uf96a\u8a55\u4f30\u7684\u6a19\u6e96\uf9ca\u7a0b\uff0c\u6240\u4ee5 NTCIR \u4ea6\u63a1\u53d6\u4e8c\u5143\u5206\u5c64\u7684\u65b9\u5f0f\u7522\u751f\uf978\u7d44\u76f8\u95dc \u5224\u65b7\u96c6\uff0c\u5373\u56b4\u8b39\u76f8\u95dc(Rigid Relevance)\u4ee5\u53ca\u5bec\u9b06\u76f8\u95dc(Relaxed Relevant)\uff0c\u56b4\u8b39\u76f8\u95dc\u8996\"S\" \u8207\"A\"\u70ba\u76f8\u95dc\uff0c\u5bec\u9b06\u76f8\u95dc\u8996\"S\"\u3001\"A\"\u3001\"B\"\u70ba\u76f8\u95dc\u3002", | |
| "cite_spans": [ | |
| { | |
| "start": 48, | |
| "end": 84, | |
| "text": "(Manning , Raghavan & Sch\u00fctze, 2008)", | |
| "ref_id": "BIBREF21" | |
| }, | |
| { | |
| "start": 115, | |
| "end": 129, | |
| "text": "(Harman, 2005)", | |
| "ref_id": "BIBREF15" | |
| }, | |
| { | |
| "start": 130, | |
| "end": 152, | |
| "text": "(Ferro & Peters, 2008)", | |
| "ref_id": "BIBREF10" | |
| }, | |
| { | |
| "start": 153, | |
| "end": 166, | |
| "text": "(Kando, 2007)", | |
| "ref_id": "BIBREF20" | |
| }, | |
| { | |
| "start": 167, | |
| "end": 178, | |
| "text": "(\u9673\u5149\u83ef, 2001)", | |
| "ref_id": null | |
| }, | |
| { | |
| "start": 179, | |
| "end": 190, | |
| "text": "(\u9673\u5149\u83ef, 2004)", | |
| "ref_id": null | |
| }, | |
| { | |
| "start": 191, | |
| "end": 212, | |
| "text": "(Chen & Chiang, 2000)", | |
| "ref_id": "BIBREF5" | |
| }, | |
| { | |
| "start": 213, | |
| "end": 239, | |
| "text": "(Craswell & Hawking, 2004)", | |
| "ref_id": "BIBREF7" | |
| }, | |
| { | |
| "start": 256, | |
| "end": 291, | |
| "text": "(B\u00fcttcher , Clarke & Soboroff 2006)", | |
| "ref_id": "BIBREF4" | |
| }, | |
| { | |
| "start": 304, | |
| "end": 328, | |
| "text": "(Ounis & Soboroff, 2008)", | |
| "ref_id": "BIBREF22" | |
| }, | |
| { | |
| "start": 345, | |
| "end": 368, | |
| "text": "(Jijkoun & Rijke, 2007)", | |
| "ref_id": "BIBREF17" | |
| }, | |
| { | |
| "start": 369, | |
| "end": 380, | |
| "text": "(\u9673\u5149\u83ef, 2001)", | |
| "ref_id": null | |
| }, | |
| { | |
| "start": 381, | |
| "end": 392, | |
| "text": "(\u9673\u5149\u83ef, 2004)", | |
| "ref_id": null | |
| }, | |
| { | |
| "start": 393, | |
| "end": 414, | |
| "text": "( Chen & Chiang, 2000", | |
| "ref_id": "BIBREF5" | |
| }, | |
| { | |
| "start": 415, | |
| "end": 471, | |
| "text": "(Harman, Braschler, Hess, Kluck, Peters & Sch\u00e4uble, 2001", | |
| "ref_id": "BIBREF14" | |
| } | |
| ], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "\u7814\u7a76\u52d5\u6a5f", | |
| "sec_num": "1." | |
| }, | |
| { | |
| "text": "\uff0c\u5982\uff1a\u55ae\u8a9e\u8a00\u8cc7\u8a0a\u6aa2\uf96a(Single Language IR, SLIR)\u3001\u8de8 \u8a9e\u8a00\u8cc7\u8a0a\u6aa2\uf96a(Cross Language IR, CLIR)\u3001\u8de8\u591a\u8a9e\u8a00\u8cc7\u8a0a\u6aa2\uf96a(Multi-Lingual IR, MLIR)\u3002 \u5728\u6587\u4ef6\u96c6\u4e2d TREC\u3001CLEF\u3001NTCIR \u90fd\u6703\u5c07\u6536\u96c6\u7684\u65b0\u805e\u6587\u4ef6\u52a0\u4e0a\u5404\u7a2e\uf967\u540c\u7684\u6a19\u8a18(Tag) \uff0c \u8a73\u7d30\u7684\u5340\u5206\u6587\u4ef6\u7684\u7279\u6027\uff0c\u4ee5\uf9dd\u65bc\u7cfb\u7d71\u9032\ufa08\u5256\u6790\u5404\u7a2e\uf967\u540c\u8cc7\u8a0a\uff0c\u4e26\u6709\u6548\u7684\u5c07\u5176\u61c9\u7528\uff0c\u8868 1 \u70ba NTCIR \u6587\u4ef6\u6a19\u8a18\u4e4b\uf96f\u660e", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "\u7814\u7a76\u52d5\u6a5f", | |
| "sec_num": "1." | |
| }, | |
| { | |
| "text": "\uff0c NTCIR \u7684 WEB Task \u7b49 (Eguchi , Oyama, Aizawa & Ishikawa, 2004)\uff0c\u5176\u6587\u4ef6\u96c6\u7684\u578b\u614b\uf967 \u540c\u65bc\u4ee5\u5f80\u7684\u65b0\u805e\u6587\u4ef6\uff0c\u800c\u662f\u7db2\u969b\u7db2\uf937\u4e0a\u7684\u7db2\uf937\u6587\u672c\uff0c\u5373\u6bcf\u4e00\u7bc7\u6587\u4ef6\u7686\u70ba\u7db2\u9801\u3002 \u4ee5\uf944\u7d71\u67e5\u8a62\u8a55\u4f30\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u8207\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u4e4b\u8cc7\u8a0a\u6aa2\uf96a\u6548\u80fd 51 \u5716 2. NTCIR \u4e2d\u6587\u6587\u4ef6\u7bc4\uf9b5 \u5728\u67e5\u8a62\u554f\u984c\u96c6\u4e2d\u4f7f\u7528\u8005\u63cf\u8ff0\u5176\u8cc7\u8a0a\u9700\u6c42\u7a31\u4e4b\u70ba\u67e5\u8a62\u554f\u984c(Query)\uff0c\u67e5\u8a62\u554f\u984c\u4e2d\u5305\u542b\u4f7f \u7528\u8005\u6240\u9700\u7684\u67e5\u8a62\u95dc\u9375\u5b57\u3002TREC \u63d0\u51fa\u4f7f\u7528\u67e5\u8a62\u4e3b\u984c\u96c6(Topic Set)\u53d6\u4ee3\u67e5\u8a62\u554f\u984c\u96c6(Query Set)\uff0c\u5176\u4e2d\u7684\uf967\u540c\uff0c\u5728\u65bc\u67e5\u8a62\u4e3b\u984c\u96c6\u4ee5\u591a\uf91d\u4f4d\u7684\u65b9\u5f0f\u9673\u8ff0\u5404\u7a2e\uf967\u540c\u5c64\u6b21\u7684\u67e5\u8a62\u9700\u6c42\uff0c\u800c \u5f8c NTCIR\u3001CLEF \u7b49\u4ea6\u4f7f\u7528\u67e5\u8a62\u4e3b\u984c\u96c6\u4f5c\u70ba\u5404\u7a2e\u67e5\u8a62\u9700\u6c42\u7684\u9673\u8ff0\u3002\u8868 2 \u70ba NTCIR \u6240\u4f7f\u7528 Topic \u7684\u6a19\u8a18\u53ca\u5176\u610f\u7fa9", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "\u7814\u7a76\u52d5\u6a5f", | |
| "sec_num": "1." | |
| }, | |
| { | |
| "text": "Sign Score (Buckley, Salton, & Allan, 1994 ) (Harman, 1992) (Salton & Buckley, 1990) (Saracevic, 1970) ", | |
| "cite_spans": [ | |
| { | |
| "start": 11, | |
| "end": 42, | |
| "text": "(Buckley, Salton, & Allan, 1994", | |
| "ref_id": "BIBREF3" | |
| }, | |
| { | |
| "start": 45, | |
| "end": 59, | |
| "text": "(Harman, 1992)", | |
| "ref_id": "BIBREF12" | |
| }, | |
| { | |
| "start": 60, | |
| "end": 84, | |
| "text": "(Salton & Buckley, 1990)", | |
| "ref_id": "BIBREF25" | |
| }, | |
| { | |
| "start": 85, | |
| "end": 102, | |
| "text": "(Saracevic, 1970)", | |
| "ref_id": "BIBREF26" | |
| } | |
| ], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Label of Relevance", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "Highly Relevant S 3 Relevant A 2 Partially Relevant B 1 Irrelevant C 0 NTCIR \u4e2d\u6bcf\u4e00\u500b\u67e5\u8a62\u4e3b\u984c\u7531 3 \u4f4d\u5224\u65b7\u8005\u505a\u5224\u65b7\uff0c\u5224\u65b7\u8005\u5fc5\u9808\u5728\u4e00\u6bb5\uf99a\u7e8c\u7684\u6642\u9593\u5167\u5b8c \u6210\u4e00\u500b\u67e5\u8a62\u4e3b\u984c\u7684\u5224\u65b7\u5de5\u4f5c\uff0c\u4ee5\u5118\uf97e\u78ba\u4fdd\u5224\u65b7\u6a19\u6e96\u524d\u5f8c\u7684\u4e00\u81f4\u6027\u3002\u4e4b\u5f8c\u900f\u904e\u4ee5\u4e0b\u516c\u5f0f\u7d50 \u5408\u4e09\u4f4d\u5224\u65b7\u8005\u7684\u5224\u65b7: (1) \u5176\u4e2d\uff38\u70ba\u5404\u5224\u65b7\u8005\u5c0d\u6587\u4ef6\u6240\u7d66\u7684\uf9d0\u5225\u7b49\u7d1a\uff0cA, B, C \u5247\u70ba\u4e09\u4f4d\u5224\u65b7\u8005\u4e4b\u4ee3\u865f\uff0cZ \u70ba\u6b63\u898f\u5316 \uf96b\uf969(\u70ba\u6700\u9ad8\u5206\uf969)\u3002\u6240\u5f97\u7684\u503c R \u4ecb\u65bc 0 \u8207 1 \u4e4b\u9593\uff0c\uf974 R \u6108\u63a5\u8fd1 1\uff0c\u5247\u8868\u793a\u4e8c\u8005\u6108\u76f8\u95dc\u3002 \u5176 \u7d50\u5408\u76f8\u95dc\u5224\u65b7\u5206\uf969\u6642\u662f\u8996\u6bcf\u4f4d\u5224\u65b7\u8005\u5c0d\u65bc\u76f8\u95dc\u5224\u65b7\u7684\u6574\u9ad4\u8ca2\u737b\u662f\u76f8\u540c\u7684\uff0c\u6240\u4ee5\uf967\u4f5c\u7279\u5225 \u52a0\u6b0a\uff0c\u4e26\u4e14\u6bcf\u500b\u5224\u65b7\u90fd\u662f\u7368\uf9f7\u7684\u3002 \u56b4\u8b39\u76f8\u95dc\u5224\u65b7\u96c6\u4ee5\u53ca\u5bec\u9b06\u76f8\u95dc\u5224\u65b7\u96c6\u7684\u5340\u5206\uff0c\u5247\u662f\u900f\u904e\u8a02\uf9f7\uf978\u500b\u9580\u6abb\u503c 0.6667 \u8207 0.3333\uff0c\u5340\u5206\u56b4\u8b39\u4ee5\u53ca\u5bec\u9b06\uff0c\u5982\u524d\u8ff0\uff0c\u56b4\u8b39\u70ba B \u4ee5\u4e0a\u4e4b\u5206\uf969(2)\uff0c\u6240\u4ee5\u56b4\u8b39\u7684\u9580\u6abb\u503c\u662f\u900f \u904e\u4ee5\u4e0b\u7684\u904b\u7b97\u6240\u53d6\u5f97\uff0c\u5bec\u9b06\u5247\u662f C \u4ee5\u4e0a\u4e4b\u5206\uf969(1)\uff0c\u4ea6\u900f\u904e\u76f8\u540c\u7684\u904b\u7b97\u53d6\u5f97\u5bec\u9b06\u4e4b\u9580\u6abb \u503c\u3002 2.2 \u67e5\u8a62\u64f4\u5c55 (Query Expansion) \u67e5\u8a62\u64f4\u5c55\u70ba\u8cc7\u8a0a\u6aa2\uf96a\u7cfb\u7d71\u4e2d\u5e38\ufa0a\u7684\u6280\u8853\uff0c\u6700\u65e9\u7531(Robertson & Sparck Jones, 1976) \u6240\u63d0\u51fa\uff0c \u4e3b\u8981\u7684\u6982\uf9a3\u70ba\u5c07\u539f\u59cb\u7684\u67e5\u8a62\u8a5e\u64f4\u5c55\uff0c\u5c07\u5176\u52a0\u5165\u81f3\u539f\u59cb\u7684\u67e5\u8a62\u4e2d\uff0c\u518d\u4f7f\u7528\u64f4\u5c55\u5f8c\u7684\u67e5\u8a62\u4f5c \u9032\u4e00\u6b65\u7684\u6aa2\uf96a\uff0c\u6b64\u7a2e\u65b9\u6cd5\u80fd\u5920\u6709\u6548\u63d0\u5347\u8cc7\u8a0a\u6aa2\uf96a\u7cfb\u7d71\u7684\u53ec\u56de\uf961(Recall)\u3002 ( ) A B C avg X X X R Z + + = \u4ee5\uf944\u7d71\u67e5\u8a62\u8a55\u4f30\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u8207\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u4e4b\u8cc7\u8a0a\u6aa2\uf96a\u6548\u80fd 53 \u95dc\uf997\u56de\u994b(Relevance Feedback)\u662f\u4e00\u7a2e\u85c9\u7531\u53cd\u8986\u67e5\u8a62\u63d0\u9ad8\u6aa2\uf96a\u7cbe\u6e96\ufa01\u6280\u8853\uff0c\u5176\u6982\uf9a3\u70ba \u900f\u904e\u7b2c\u4e00\u6b21\u6aa2\uf96a\u51fa\uf92d\u7684\u6587\u4ef6\uff0c\u53d6\u5f97\u5176\u4e2d\u8207\u539f\u59cb\u67e5\u8a62\u7684\u95dc\uf997\u7a0b\ufa01\uff0c\u4e26\u56de\u994b\u7d66\u6aa2\uf96a\u7cfb\u7d71\uff0c\u800c \u7cfb\u7d71\u53ef\u4ee5\uf9dd\u7528\u9019\u4e9b\u76f8\u95dc\u6216\u662f\uf967\u76f8\u95dc\u7684\u6587\u4ef6\uff0c\u4fee\u6539\u6aa2\uf96a\u7cfb\u7d71\u4e2d\u7684\u5404\u7a2e\uf96b\uf969\u503c\u6216\u662f\u4fee\u6539\u539f\u4f7f \u7684\u67e5\u8a62(Query)\uff0c\u4e4b\u5f8c\u9032\ufa08\u4e0b\u4e00\u6b21\u7684\u6aa2\uf96a\u6642\uff0c\u5373\u53ef\u5f97\u5230\u8f03\u7cbe\u6e96\u7684\u6aa2\uf96a\u7d50\u679c\u3002 \u50b3\u7d71\u95dc\uf997\u56de\u994b\u65b9\u6cd5\u4ee5 Rocchio \u7b49\u6240\u63d0\u51fa\u7684\u6f14\u7b97\u6cd5(Joachims, 1997)\u6700\u5177\u4ee3\u8868\u6027\uff0c\u5176\u516c \u5f0f\u5982\u4e0b\uff1a ' ' ' ' new current D R D NR Q Q D D R N R \u03b2 \u03b3 \u03b1 \u2208 \u2208 = + \u2212 \u2211 \u2211 (2) Q new \u70ba\u7d93\u904e\u95dc\uf997\u56de\u994b\u5f8c\u7522\u751f\u7684\u65b0\u67e5\u8a62\uff0cQ current \u70ba\u820a\u6709\u7684\u67e5\u8a62\uff0cR'\u8868\u793a\u8207\u67e5\u8a62\u76f8\u95dc\u7684 \u6587\u4ef6\uff0cNR'\u8868\u793a\u8207\u67e5\u8a62\uf967\u76f8\u95dc\u7684\u6587\u4ef6\uff0c\u03b1\u3001\u03b2 \u53ca \u03b3 \u70ba\uf96b\uf969\u6bd4\u503c\uff0c\u03b1+\u03b2+\u03b3=1\u3002\u5176\u4e2d \u03b3 \u901a\u5e38\u8a2d\u70ba 0\uff0c\u56e0\u70ba\u5728\u771f\u5be6\u4e16\u754c\u4e2d\u6bd4\u8f03\u5c11\u6703\u53bb\u5340\u5206\u6587\u4ef6\u70ba\uf967\u76f8\u95dc\uff0c\u901a\u5e38\u4f7f\u7528\u8005\u6700\u591a\u53ea\u6a19\u6ce8\u54ea\u4e9b\u6587\u4ef6\u70ba \u76f8\u95dc\u3002 \u95dc\uf997\u56de\u994b\u5206\u70ba\u4e09\u7a2e\uff1a\u986f\u6027\u56de\u994b(Explicit feedback)\u3001\u96b1\u6027\u56de\u994b(Implicit feedback)\u3001 \u548c \u96b1 \u853d \u7684 \u56de \u994b ( blind feedback ) \u6216 \" \u865b \u64ec \" \u95dc \uf997 \u56de \u994b", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Label of Relevance", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "(Sparck Jones & Rijsbergen, 1976)\u3002\u986f\u6027\u56de\u994b\u6307\u4f7f\u7528\u8005\u4e3b\u52d5\u6a19\u8a18\u54ea\u4e9b\u6587\u4ef6\u662f\u76f8\u95dc\u6216\uf967\u76f8\u95dc\u3002\u96b1\u6027\u56de\u994b\u6307\u7cfb\u7d71\u76e3\u8996\u4f7f\u7528 \u8005\u7684\ufa08\u70ba\uff0c\u50cf\u662f\u4f7f\u7528\u8005\u6709\u9ede\u9078\u6216\u6c92\u9ede\u9078\u54ea\u4e9b\u7db2\u9801\u3001\u89c0\u770b\u7db2\u9801\u591a\u4e45\u6642\u9593\uff0c\u6536\u96c6\u9019\u4e9b\u8cc7\u8a0a\u53ef \u4ee5\u8b93\u7cfb\u7d71\u500b\u4eba\u5316\u3002 \u96b1\u853d\u7684\u56de\u994b\u53c8\u7a31\u70ba\u865b\u64ec\u95dc\uf997\u56de\u994b(Fan, Luo, Wang, Xi, &Fox, 2004)\uff0c\u7531\u65bc\u4f7f\u7528\u8005\u81ea\u5df1 \u63d0\u4f9b\u95dc\uf997\u56de\u994b\u7684\u610f\u9858\uf967\u9ad8\uff0c\u56e0\u6b64\u9700\u8981\u7cfb\u7d71\u81ea\u52d5\u7522\u751f\u51fa\u6a21\u64ec\u4f7f\u7528\u8005\u6240\u505a\u7684\u95dc\uf997\u56de\u994b\u3002\u7cfb\u7d71 \u6703\u5148\u9032\ufa08\u4e00\u6b21\u6aa2\uf96a\uff0c\u64f7\u53d6\u51fa Top N \u7bc7\u7684\u6587\u4ef6\u7576\u505a\u865b\u64ec\u95dc\uf997\u56de\u994b\u6587\u4ef6\uff0c\u7528\uf92d\u65b0\u589e\u67e5\u8a62\u5b57\u8a5e\uff0c \u8b93\u6700\u7d42\u6aa2\uf96a\u6548\u80fd\u63d0\u9ad8\u3002 Okapi BM25 \u662f\u4e00\u7a2e\u6392\u5e8f\u7684\u516c\u5f0f\uff0c\u641c\uf96a\u5f15\u64ce\u5728\u63a5\u53d7\u67e5\u8a62\uf906\u5f8c\uff0c\u4f7f\u7528\u6b64\u516c\u5f0f\u6392\u5e8f\u76f8\u7b26 \u5408\u6587\u4ef6\u7684\u9ad8\u4f4e\uff0c\u85c9\u6b64\u627e\u51fa\u76f8\u95dc\u6587\u4ef6\u51fa\uf92d\u3002\u6b64\u516c\u5f0f\u662f\u5728 1970 \uf98e\u6240\u767c\u5c55\u51fa\uf92d\u5c6c\u65bc\u6a5f\uf961\u6a21\u5f0f\u7684 \u6f14 \u7b97\u6cd5(Robertson & Sparck Jones, 1976) \u3002\u73fe\u4eca \u8a31\u591a \u8cc7\u8a0a\u6aa2\uf96a\u7684 \u65b9\u7a0b\u5f0f\u90fd\u662f \u6539\u9032\u81ea BM25(Robertson, Walker, Sparck Jones, Hancock-Beaulieu & Gatford, 1995)\u3002 Okapi \u7684\u516c\u5f0f\u5982\u4e0b\uff1a ( ) 1 1 3 3 ( 1) ( 1) , ( )( ) n T Q k tf k qtf Sim Q D w K tf k qtf \u2208 + + = + + \u2211 (3) 1 ( 0.5)/( 0.5) log ( 0 .5 )/( 0 .5 ) r R r w n r N n R r + \u2212 + = \u2212 + \u2212 \u2212 + + (4) 1 ((1 ) ) dl K k b b avdl = \u2212 + (5) Okapi BM25 \u6f14\u7b97\u6cd5\u5c07\u6703\u9032\ufa08\uf978\u6b21\u7684\u6aa2\uf96a\uff0c\u7b2c\u4e00\u6b21\u7684\u6aa2\uf96a\u7d50\u679c\u7576\u6210\u865b\u64ec\u95dc\uf997\u56de\u994b\u7684 \u6587\u4ef6\uff0c\u518d\u5f9e\u5176\u4e2d\u865b\u64ec\u95dc\uf997\u56de\u994b\u6587\u4ef6\u4e2d\uff0c\u6311\u9078\u51fa n \u500b\u5b57\u8a5e\u52a0\u5165\u67e5\u8a62\u4e2d\uff0c\u9054\u5230\u67e5\u8a62\u64f4\u5c55\u7684\u4f5c \u8a31\u5fd7\u5168\u3001\u5433\u4e16\u5f18 \u7528\uff0c\u518d\u9032\ufa08\u7b2c\u4e8c\u6b21\u7684\u6aa2\uf96a\u3002\u800c\u5728\u7b2c\u4e00\u6b21\u7684\u6aa2\uf96a\u6642\uff0c\u5176\u4e2d\u7684\u5176\u5c0f R\u3001r \u7684\uf969\u503c\u70ba 0\uff0c\u7b2c\u4e8c\u6b21 \u6aa2\uf96a\u6642\u900f\u904e\u7b2c\u4e00\u6b21\u6aa2\uf96a\u5f8c\u53d6\u5f97 R\u3001r \u7684\uf969\u503c\u3002 \u7b2c\u4e00\u6b21\u6311\u9078\u51fa n \u500b\u5b57\u8a5e\u52a0\u5165\u539f\u59cb\u7684\u67e5\u8a62\u4e2d\uff0c\u6311\u9078\u662f\u900f\u904e TF-IDF \u7684\u516c\u5f0f\u8a08\u7b97\u6bcf\u500b\u5b57 \u8a5e\u7684\u6b0a\u91cd\u503c\uff1a ( ) ( ) ( ) w i tf i idf i = \u00d7 (6) ( ) log ( ) N idf i df i = (7) \u5176\u4e2d tf(i)\u70ba i \u5b57\u8a5e\u6240\u51fa\u73fe\u7684\u983b\uf961(\u6b21\uf969)\uff0cdf(i)\u70ba i \u5b57\u8a5e\u51fa\u73fe\u5728\u591a\u5c11\u7bc7\u6587\u7ae0\u7684\u983b\uf961\uff0cN \u70ba\u6240\u6709\u6587\u7ae0\uf969\uf97e\u3002", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Label of Relevance", | |
| "sec_num": null | |
| } | |
| ], | |
| "back_matter": [], | |
| "bib_entries": { | |
| "BIBREF1": { | |
| "ref_id": "b1", | |
| "title": "The Association for Computing Linguistics and Chinese Language Processing", | |
| "authors": [ | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "\u9673\u5149\u83ef", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2004, | |
| "venue": "", | |
| "volume": "15", | |
| "issue": "", | |
| "pages": "4--12", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "\u9673\u5149\u83ef(2004)\u3002\u4e2d\u6587\u8cc7\u8a0a\u6aa2\uf96a\u6a19\u7aff\u6e2c\u8a66\u96c6\u4e4b\u5efa\u7f6e, In The Association for Computing Linguistics and Chinese Language Processing, 15(4), 4-12.", | |
| "links": null | |
| }, | |
| "BIBREF2": { | |
| "ref_id": "b2", | |
| "title": "CLEF -Overview of Results", | |
| "authors": [ | |
| { | |
| "first": "M", | |
| "middle": [], | |
| "last": "Braschler", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2001, | |
| "venue": "Cross-Language Information Retrieval and Evaluation", | |
| "volume": "2069", | |
| "issue": "", | |
| "pages": "89--101", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Braschler, M. (2001). CLEF -Overview of Results. In Cross-Language Information Retrieval and Evaluation. Lecture Notes in Computer Science 2069, 89-101, Springer Verlag.", | |
| "links": null | |
| }, | |
| "BIBREF3": { | |
| "ref_id": "b3", | |
| "title": "The effect of adding relevance information in a relevance feedback environment", | |
| "authors": [ | |
| { | |
| "first": "C", | |
| "middle": [], | |
| "last": "Buckley", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "G", | |
| "middle": [], | |
| "last": "Salton", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "J", | |
| "middle": [], | |
| "last": "Allan", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 1994, | |
| "venue": "Proceedings of SIGIR 17", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "292--300", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Buckley, C., Salton, G., & Allan, J. (1994). The effect of adding relevance information in a relevance feedback environment, In Proceedings of SIGIR 17., 292-300.", | |
| "links": null | |
| }, | |
| "BIBREF4": { | |
| "ref_id": "b4", | |
| "title": "The TREC 2006 Terabyte track", | |
| "authors": [ | |
| { | |
| "first": "S", | |
| "middle": [], | |
| "last": "B\u00fcttcher", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "C", | |
| "middle": [ | |
| "L A" | |
| ], | |
| "last": "Clarke", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "I", | |
| "middle": [], | |
| "last": "Soboroff", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2006, | |
| "venue": "TREC 2006", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "B\u00fcttcher, S., Clarke, C. L. A., & Soboroff, I. (2006). The TREC 2006 Terabyte track. In TREC 2006, Gaithersburg, Maryland USA.", | |
| "links": null | |
| }, | |
| "BIBREF5": { | |
| "ref_id": "b5", | |
| "title": "The Design and Implementation of the Chinese IR Benchmark", | |
| "authors": [ | |
| { | |
| "first": "K", | |
| "middle": [ | |
| "H" | |
| ], | |
| "last": "Chen", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Y", | |
| "middle": [ | |
| "T" | |
| ], | |
| "last": "Chiang", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2000, | |
| "venue": "Journal of Information,Communication, and Library Science", | |
| "volume": "6", | |
| "issue": "3", | |
| "pages": "61--80", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Chen, K.H., & Chiang, Y.T. (2000). The Design and Implementation of the Chinese IR Benchmark. Journal of Information,Communication, and Library Science, 6(3), 61-80.", | |
| "links": null | |
| }, | |
| "BIBREF6": { | |
| "ref_id": "b6", | |
| "title": "The Cranfield Tests on Index Language Devices", | |
| "authors": [ | |
| { | |
| "first": "C", | |
| "middle": [ | |
| "W" | |
| ], | |
| "last": "Cleverdon", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 1967, | |
| "venue": "Aslib Proceedings", | |
| "volume": "19", | |
| "issue": "", | |
| "pages": "173--194", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Cleverdon, C.W. (1967). The Cranfield Tests on Index Language Devices. In Aslib Proceedings, 19(6), 173-194.", | |
| "links": null | |
| }, | |
| "BIBREF7": { | |
| "ref_id": "b7", | |
| "title": "Overview of the trec-2004 web track", | |
| "authors": [ | |
| { | |
| "first": "N", | |
| "middle": [], | |
| "last": "Craswell", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "D", | |
| "middle": [], | |
| "last": "Hawking", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2004, | |
| "venue": "Proceedings of TREC-2004", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Craswell, N., & Hawking, D. (2004). Overview of the trec-2004 web track. In Proceedings of TREC-2004, Gaithersburg, Maryland USA.", | |
| "links": null | |
| }, | |
| "BIBREF8": { | |
| "ref_id": "b8", | |
| "title": "Overview of the WEB task at the fourth NTCIR workshop", | |
| "authors": [ | |
| { | |
| "first": "K", | |
| "middle": [], | |
| "last": "Eguchi", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "K", | |
| "middle": [], | |
| "last": "Oyama", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "A", | |
| "middle": [], | |
| "last": "Aizawa", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "H", | |
| "middle": [], | |
| "last": "Ishikawa", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2004, | |
| "venue": "Proceedings of the Fourth NTCIR Workshop on Research in Information Access Technologies Information Retrieval, Question Answering and Summarization", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Eguchi, K., Oyama, K., Aizawa, A., & Ishikawa, H. (2004). Overview of the WEB task at the fourth NTCIR workshop. In Proceedings of the Fourth NTCIR Workshop on Research in Information Access Technologies Information Retrieval, Question Answering and Summarization. \u8a31\u5fd7\u5168\u3001\u5433\u4e16\u5f18", | |
| "links": null | |
| }, | |
| "BIBREF9": { | |
| "ref_id": "b9", | |
| "title": "Tuning Before Feedback\uff1a Combining Ranking Discovery and Blind Feedback for Robust Retrieval", | |
| "authors": [ | |
| { | |
| "first": "W", | |
| "middle": [], | |
| "last": "Fan", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "M", | |
| "middle": [], | |
| "last": "Luo", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "L", | |
| "middle": [], | |
| "last": "Wang", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "W", | |
| "middle": [], | |
| "last": "Xi", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "E", | |
| "middle": [ | |
| "A" | |
| ], | |
| "last": "Fox", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2004, | |
| "venue": "Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "138--145", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Fan, W., Luo, M., Wang, L., Xi, W. & Fox, E. A. (2004). Tuning Before Feedback\uff1a Combining Ranking Discovery and Blind Feedback for Robust Retrieval. In Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, 138-145.", | |
| "links": null | |
| }, | |
| "BIBREF10": { | |
| "ref_id": "b10", | |
| "title": "From CLEF to TrebleCLEF: the Evolution of the Cross-Language Evaluation Forum", | |
| "authors": [ | |
| { | |
| "first": "N", | |
| "middle": [], | |
| "last": "Ferro", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "C", | |
| "middle": [], | |
| "last": "Peters", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2008, | |
| "venue": "Proceedings of NTCIR-7 Workshop Meeting", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Ferro, N., & Peters, C. (2008). From CLEF to TrebleCLEF: the Evolution of the Cross-Language Evaluation Forum. In Proceedings of NTCIR-7 Workshop Meeting, December 16-19, Tokyo, Japan.", | |
| "links": null | |
| }, | |
| "BIBREF11": { | |
| "ref_id": "b11", | |
| "title": "Computing semantic relatedness using wikipediabased explicit semantic analysis", | |
| "authors": [ | |
| { | |
| "first": "E", | |
| "middle": [], | |
| "last": "Gabrilovich", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "S", | |
| "middle": [], | |
| "last": "Markovitch", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2007, | |
| "venue": "IJCAI 2007. Proc. of International Joint Conference on Artificial Intelligence", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "1606--1611", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Gabrilovich, E., & Markovitch, S. (2007). Computing semantic relatedness using wikipediabased explicit semantic analysis. In IJCAI 2007. Proc. of International Joint Conference on Artificial Intelligence, 1606-1611.", | |
| "links": null | |
| }, | |
| "BIBREF12": { | |
| "ref_id": "b12", | |
| "title": "Relevance feedback revisited", | |
| "authors": [ | |
| { | |
| "first": "D", | |
| "middle": [ | |
| "K" | |
| ], | |
| "last": "Harman", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 1992, | |
| "venue": "Proceedings of SIGIR", | |
| "volume": "15", | |
| "issue": "", | |
| "pages": "1--10", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Harman, D.K. (1992). Relevance feedback revisited, In Proceedings of SIGIR 15, 1-10.", | |
| "links": null | |
| }, | |
| "BIBREF13": { | |
| "ref_id": "b13", | |
| "title": "The First Text REtrieval Conference (TREC-1)", | |
| "authors": [ | |
| { | |
| "first": "D", | |
| "middle": [ | |
| "K" | |
| ], | |
| "last": "Harman", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 1993, | |
| "venue": "Information Processing and Management", | |
| "volume": "29", | |
| "issue": "4", | |
| "pages": "411--414", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Harman, D.K. (1993). The First Text REtrieval Conference (TREC-1). Information Processing and Management, 29(4), 411-414.", | |
| "links": null | |
| }, | |
| "BIBREF14": { | |
| "ref_id": "b14", | |
| "title": "CLIR Evaluation at TREC", | |
| "authors": [ | |
| { | |
| "first": "D", | |
| "middle": [ | |
| "K" | |
| ], | |
| "last": "Harman", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "M", | |
| "middle": [], | |
| "last": "Braschler", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "M", | |
| "middle": [], | |
| "last": "Hess", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "M", | |
| "middle": [], | |
| "last": "Kluck", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "C", | |
| "middle": [], | |
| "last": "Peters", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "P", | |
| "middle": [], | |
| "last": "Sch\u00e4uble", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2001, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "7--23", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Harman, D.K., Braschler, M., Hess, M., Kluck, M., Peters, C., & Sch\u00e4uble, P. (2001). CLIR Evaluation at TREC. In Peters(2001), S. 7-23.", | |
| "links": null | |
| }, | |
| "BIBREF15": { | |
| "ref_id": "b15", | |
| "title": "TREC: Experiment and Evaluation in Information Retrieval", | |
| "authors": [ | |
| { | |
| "first": "D", | |
| "middle": [ | |
| "K" | |
| ], | |
| "last": "Harman", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2005, | |
| "venue": "The TREC Test Collections", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "21--52", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Harman, D.K. (2005). The TREC Test Collections, Voorhees, E. M. and Harman, D. K. (eds.), TREC: Experiment and Evaluation in Information Retrieval, 21-52.", | |
| "links": null | |
| }, | |
| "BIBREF16": { | |
| "ref_id": "b16", | |
| "title": "Query Expansion via Link Analysis of Wikipedia for CLIR", | |
| "authors": [ | |
| { | |
| "first": "C", | |
| "middle": [ | |
| "C" | |
| ], | |
| "last": "Hsu", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Y", | |
| "middle": [ | |
| "T" | |
| ], | |
| "last": "Li", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "Y", | |
| "middle": [ | |
| "W" | |
| ], | |
| "last": "Chen", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "S", | |
| "middle": [ | |
| "H" | |
| ], | |
| "last": "Wu", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2008, | |
| "venue": "Proceedings of NTCIR-7", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Hsu, C.C., Li, Y.T., Chen, Y.W., & Wu, S.H. (2008). Query Expansion via Link Analysis of Wikipedia for CLIR. In Proceedings of NTCIR-7.", | |
| "links": null | |
| }, | |
| "BIBREF17": { | |
| "ref_id": "b17", | |
| "title": "The University of Amsterdam at WebCLEF 2007: Using Centrality to Rank Web Snippets", | |
| "authors": [ | |
| { | |
| "first": "V", | |
| "middle": [], | |
| "last": "Jijkoun", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "M", | |
| "middle": [], | |
| "last": "Rijke", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2007, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Jijkoun, V., & Rijke, M. (2007). The University of Amsterdam at WebCLEF 2007: Using Centrality to Rank Web Snippets. In CLEF 2007, Budapest, Hungary, 2007.", | |
| "links": null | |
| }, | |
| "BIBREF18": { | |
| "ref_id": "b18", | |
| "title": "A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization", | |
| "authors": [ | |
| { | |
| "first": "T", | |
| "middle": [], | |
| "last": "Joachims", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 1997, | |
| "venue": "Proceedings of 14th International Conference on Machine Learning (ICML-97)", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "143--151", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Joachims, T. (1997). A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization. In Proceedings of 14th International Conference on Machine Learning (ICML-97), 143-151.", | |
| "links": null | |
| }, | |
| "BIBREF19": { | |
| "ref_id": "b19", | |
| "title": "NACSIS Corpus Project for IR and Terminological Research", | |
| "authors": [], | |
| "year": 1997, | |
| "venue": "Natural Language Processing Pacific Rim Symposium '97", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "493--496", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Kageura, K. & others, eds. (1997). NACSIS Corpus Project for IR and Terminological Research. In Natural Language Processing Pacific Rim Symposium '97, 493-496, December 2-5, Phuket, Thailand.", | |
| "links": null | |
| }, | |
| "BIBREF20": { | |
| "ref_id": "b20", | |
| "title": "Overview of the Sixth NTCIR Workshop", | |
| "authors": [ | |
| { | |
| "first": "N", | |
| "middle": [], | |
| "last": "Kando", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2007, | |
| "venue": "Proceedings of the Sixth NTCIR Workshop", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Kando, N (2007). Overview of the Sixth NTCIR Workshop. In Proceedings of the Sixth NTCIR Workshop, May 15-18, NII, Tokyo.", | |
| "links": null | |
| }, | |
| "BIBREF21": { | |
| "ref_id": "b21", | |
| "title": "Introduction to Information Retrieval", | |
| "authors": [ | |
| { | |
| "first": "C", | |
| "middle": [ | |
| "D" | |
| ], | |
| "last": "Manning", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "P", | |
| "middle": [], | |
| "last": "Raghavan", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "H", | |
| "middle": [], | |
| "last": "Sch\u00fctze", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2008, | |
| "venue": "", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Manning, C.D., Raghavan, P., & Sch\u00fctze, H. (2008). Introduction to Information Retrieval, Cambridge University.", | |
| "links": null | |
| }, | |
| "BIBREF22": { | |
| "ref_id": "b22", | |
| "title": "Overview of the TREC-2008 Blog Track", | |
| "authors": [ | |
| { | |
| "first": "I", | |
| "middle": [], | |
| "last": "Ounis", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "C", | |
| "middle": [ | |
| "M I" | |
| ], | |
| "last": "Soboroff", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2008, | |
| "venue": "TREC", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Ounis, I., & Soboroff, C.M.I. (2008). Overview of the TREC-2008 Blog Track. In TREC 2008.", | |
| "links": null | |
| }, | |
| "BIBREF23": { | |
| "ref_id": "b23", | |
| "title": "Relevance weighting of search terms. The American Society for Information Science", | |
| "authors": [ | |
| { | |
| "first": "S", | |
| "middle": [ | |
| "E" | |
| ], | |
| "last": "Robertson", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "K", | |
| "middle": [], | |
| "last": "Jones", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 1976, | |
| "venue": "", | |
| "volume": "27", | |
| "issue": "", | |
| "pages": "129--146", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Robertson, S.E., & Sparck Jones, K. (1976). Relevance weighting of search terms. The American Society for Information Science, 27(3), 129-146.", | |
| "links": null | |
| }, | |
| "BIBREF24": { | |
| "ref_id": "b24", | |
| "title": "Okapi at TREC-3", | |
| "authors": [ | |
| { | |
| "first": "S", | |
| "middle": [ | |
| "E" | |
| ], | |
| "last": "Robertson", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "S", | |
| "middle": [], | |
| "last": "Walker", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "K", | |
| "middle": [], | |
| "last": "Sparck Jones", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "M", | |
| "middle": [], | |
| "last": "Hancock-Beaulieu", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "M", | |
| "middle": [], | |
| "last": "Gatford", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 1995, | |
| "venue": "Proceedings of the Third Text Retrieval Conference (TREC-3)", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Robertson, S.E., Walker, S., Sparck Jones, K., Hancock-Beaulieu, M., & Gatford, M. (1995). Okapi at TREC-3. In Proceedings of the Third Text Retrieval Conference (TREC-3).", | |
| "links": null | |
| }, | |
| "BIBREF25": { | |
| "ref_id": "b25", | |
| "title": "Improving retrieval performance by relevance feedback", | |
| "authors": [ | |
| { | |
| "first": "G", | |
| "middle": [], | |
| "last": "Salton", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "C", | |
| "middle": [], | |
| "last": "Buckley", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 1990, | |
| "venue": "Journal of the American Society for Information Science", | |
| "volume": "41", | |
| "issue": "4", | |
| "pages": "288--297", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Salton, G., & Buckley, C. (1990). Improving retrieval performance by relevance feedback. Journal of the American Society for Information Science, 41(4), 288-297.", | |
| "links": null | |
| }, | |
| "BIBREF26": { | |
| "ref_id": "b26", | |
| "title": "The Concept of 'Relevance' in Information Science: A Historical Review", | |
| "authors": [ | |
| { | |
| "first": "T", | |
| "middle": [], | |
| "last": "Saracevic", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 1970, | |
| "venue": "Introduction to Information Science", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "111--151", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Saracevic, T. (1970). The Concept of 'Relevance' in Information Science: A Historical Review. In Introduction to Information Science, 111-151, New York, USA: R.R.Bowker.", | |
| "links": null | |
| }, | |
| "BIBREF27": { | |
| "ref_id": "b27", | |
| "title": "Overview of QAST", | |
| "authors": [ | |
| { | |
| "first": "J", | |
| "middle": [], | |
| "last": "Turmo", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "P", | |
| "middle": [ | |
| "R" | |
| ], | |
| "last": "Comas", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "S", | |
| "middle": [], | |
| "last": "Rosset", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "L", | |
| "middle": [], | |
| "last": "Lamel", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "N", | |
| "middle": [], | |
| "last": "Moureau", | |
| "suffix": "" | |
| }, | |
| { | |
| "first": "D", | |
| "middle": [], | |
| "last": "Mostefa", | |
| "suffix": "" | |
| } | |
| ], | |
| "year": 2008, | |
| "venue": "Proceedings of the CLEF 2008 Workshop on Cross-Language Information Retrieval and Evaluation", | |
| "volume": "", | |
| "issue": "", | |
| "pages": "", | |
| "other_ids": {}, | |
| "num": null, | |
| "urls": [], | |
| "raw_text": "Turmo, J., Comas, P.R., Rosset, S., Lamel, L., Moureau, N., & Mostefa, D. (2008). Overview of QAST 2008. In Proceedings of the CLEF 2008 Workshop on Cross-Language Information Retrieval and Evaluation.", | |
| "links": null | |
| } | |
| }, | |
| "ref_entries": { | |
| "TABREF0": { | |
| "html": null, | |
| "type_str": "table", | |
| "text": "\u5728\u5efa\u7f6e\u6e2c\u8a66\u96c6\u7684\u6a19\u6e96\uf9ca\u7a0b\uff0c\u5982\u5716 1 \u6240\u793a\u3002\u6a19\u6e96\u7684\u6e2c\u8a66\u96c6\u662f\u7531\u4e09\u500b\u6587\u4ef6\u96c6\u5408\u6240\u69cb\u6210\uff0c \u5373\u67e5\u8a62\u4e3b\u984c(Query set)\u3001\u6587\u4ef6\u96c6(Document set)\u3001\u76f8\u95dc\u5224\u65b7\u96c6(Relevance Judgment set)\uff0c\u5176 \u4e2d\u67e5\u8a62\u4e3b\u984c\u8207\u6587\u4ef6\u96c6\u662f\u4e8b\u5148\u8490\u96c6\u5efa\u69cb\u7684\uff0c\u800c\u76f8\u95dc\u5224\u65b7\u96c6\u5247\u7531\uf9dd\u7528\u5404\u500b\uf967\u540c\u7684\u6aa2\uf96a\u7cfb\u7d71\u7684 \u6aa2\uf96a\u7d50\u679c\u4e2d\uff0c\u900f\u904e Pooling Method \u5efa\u69cb\u51fa\u76f8\u95dc\u5224\u65b7\u7684 Pool\uff0c\u6700\u5f8c\u518d\u900f\u904e\uf96b\u8207\u5224\u65b7\u4e4b\u76f8\u95dc \u5224\u65b7\u8005\uff0c\u5c0d Pool \u4e2d\u7684\u6bcf\u7bc7\u6587\u4ef6\u5224\u65b7\u6240\u5efa\u69cb\u800c\u6210\u7684\u3002\u6211\u5011\uf9dd\u7528\u5176\u7dad\u57fa\u767e\u79d1\u6240\u91cb\u51fa\u7684\u8cc7\uf9be", | |
| "content": "<table><tr><td>50</td><td>\u4ee5\uf944\u7d71\u67e5\u8a62\u8a55\u4f30\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u8207\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u4e4b\u8cc7\u8a0a\u6aa2\uf96a\u6548\u80fd \u8a31\u5fd7\u5168\u3001\u5433\u4e16\u5f18</td></tr><tr><td colspan=\"2\">2. \u6587\u737b\u63a2\u8a0e</td></tr><tr><td colspan=\"2\">2.1 \u8cc7\u8a0a\u6aa2\uf96a\u8a55\u4f30\u662f\u900f\u904e\u5728\u4e00\u81f4\u6027\u7684\u8a55\u6bd4\u74b0\u5883\u4e2d\u9032\ufa08\u6e2c\u8a66\uff0c\u8861\uf97e\uf967\u540c\u7684\u8cc7\u8a0a\u6aa2\uf96a\u6280\u8853\u6216\u5404\u6aa2</td></tr><tr><td colspan=\"2\">\uf96a\u7cfb\u7d71\u9593\u7684\u6548\u80fd\u8a55\u6bd4\u3002\u6b64\u65b9\u6cd5\u6700\u65e9\u662f\u7531 Cleverdo \u5728 Cranfield II(Cleverdon, 1967)\u6642\u63d0\u51fa\uff0c</td></tr><tr><td colspan=\"2\">\u4e3b\u8981\u4ee5\u6587\u4ef6\u96c6(Document set)\u3001\u67e5\u8a62\u4e3b\u984c\u96c6(Query set)\u3001\u76f8\u95dc\u5224\u65b7\u96c6(Relevance Judgment set)</td></tr><tr><td colspan=\"2\">(Wikipedia Dump Data)\uff0c\u4f5c\u70ba\u6211\u5011\u7684\u6e2c\u8a66\u96c6\u7684\u5167\u5bb9\u3002\u800c\u67e5\u8a62\u4e3b\u984c\u7684\u5efa\u69cb\uff0c\u662f\u7531\u771f\u5be6\u4e16\u754c \u5efa\u69cb\u6e2c\u8a66\u96c6\uff0c\u4f5c\u70ba\u8a55\u4f30\u5404\u7cfb\u7d71\u7684\u57fa\u790e\u8cc7\uf9be\uff0c\u4e26\u8a02\u5b9a\u4e00\u5957\u6548\u80fd\u8a55\u4f30\u6e96\u5247\uff0c\u8a55\u4f30\u5404\u8cc7\u8a0a\u6aa2\uf96a</td></tr><tr><td colspan=\"2\">\u4f7f\u7528\u8005\u5c0d\u65bc\u7dad\u57fa\u767e\u79d1\u5168\u66f8\u77e5\uf9fc\u9700\u6c42\u6240\u5efa\u69cb\u800c\u6210\uff0c\u5176\u4e2d\u5305\u542b\uf9ba\uf944\u7d71\u67e5\u8a62\u4ee5\u53ca\u7cbe\u78ba\u67e5\u8a62\u7b49\u8cc7 \u6280\u8853\u53ca\u6aa2\uf96a\u7cfb\u7d71\u9593\u7684\u6548\u80fd\u3002\u5728 1992 \uf98e\u7f8e\u570b Defense Advanced Research Projects Agency</td></tr><tr><td colspan=\"2\">\u8a0a\u3002 (DARPA)\u8207 National Institute of Standards and Technology(NIST)\u5171\u540c\u8209\u8fa6 Text REtrieval</td></tr><tr><td colspan=\"2\">Conference (TREC) ( Harman, 1993)\uff0cTREC \u63d0\u4f9b\uf9ba\u7576\u6642\u6700\u9f90\u5927\u7684\u6e2c\u8a66\u96c6\uff0c\u4f7f\u5f97\u8cc7\u8a0a\u6aa2\uf96a</td></tr><tr><td colspan=\"2\">\u6e2c\u8a66\u7684\u74b0\u5883\uf901\u63a5\u8fd1\u65bc\u771f\u5be6\u3002</td></tr><tr><td/><td>\u7e7c TREC \u4e4b\u5f8c\uff0c\u5404\u754c\u5c0d\u65bc\u63d0\u4f9b\u8cc7\u8a0a\u6aa2\uf96a\u4e00\u81f4\u6027\u7684\u8a55\u6bd4\u74b0\u5883\uff0c\u8a31\u591a\u6a5f\u69cb\u4ea6\u958b\u59cb\u63d0\u4f9b\uf967</td></tr><tr><td colspan=\"2\">\u540c\u8a9e\u7cfb\uff0c\u76f8\u4f3c\u65bc TREC \u7684\u5927\u578b\u6e2c\u8a66\u96c6\uff0c\uf9b5\u5982\uff1aCross Language Evaluation Forum (CLEF)</td></tr><tr><td/><td>:\u300c\u4f7f\u7528\u8005\uf967\u77e5\u9053\u5982\u4f55</td></tr><tr><td colspan=\"2\">\u4f7f\u7528\u7cbe\u78ba\u7684\u95dc\u9375\u5b57\u63cf\u8ff0\u5176\u8cc7\u8a0a\u9700\u6c42\u300d\u3002\u6b64\u6642\u4f7f\u7528\u8005\u53ea\u80fd\u4f7f\u7528\uf944\u7d71\u7684\u95dc\u9375\u5b57\u63cf\u8ff0\u5176\u8cc7\u8a0a\u9700</td></tr><tr><td colspan=\"2\">\u6c42\uff0c\u4e26\u900f\u904e\u591a\u6b21\u91cd\u65b0\u6aa2\uf96a\u4e4b\u5f8c\uff0c\u624d\u627e\u5230\u7cbe\u78ba\u7684\u95dc\u9375\u5b57\uff0c\u6700\u5f8c\u53d6\u5f97\u76f8\u95dc\u8cc7\u8a0a\u3002\u6211\u5011\u7a31\u9019\u4e9b</td></tr><tr><td colspan=\"2\">\uf967\u7cbe\u78ba\u7684\u67e5\u8a62\u95dc\u9375\u5b57\u70ba\uf944\u7d71\u67e5\u8a62(general query)\u3002\u672c\u6587\u5c07\u8a55\u4f30\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u8207\u6211\u5011\u6240\u7814\u767c</td></tr><tr><td colspan=\"2\">\u7684\u6aa2\uf96a\u7cfb\u7d71\u5c0d\uf944\u7d71\u67e5\u8a62\u7684\u6aa2\uf96a\u6548\u80fd\u3002 \u5716 1. \u8a55\u4f30\u8cc7\u8a0a\u6aa2\uf96a\u6548\u80fd\u4e4b\uf9ca\u7a0b\u5716</td></tr><tr><td colspan=\"2\">\u73fe\u4eca\u7684\u8cc7\u8a0a\u6aa2\uf96a\u6e2c\u8a66\u96c6(Test Collection)\uf967\u9069\u5408\u8a55\u4f30\u4f7f\u7528\uf944\u7d71\u67e5\u8a62\u8207\u7cbe\u78ba\u95dc\u9375\u5b57\u7684\u6aa2 \u672c\u7814\u7a76\u7684\u53e6\u4e00\u4e3b\u984c\uff0c\u63a2\u8a0e\u67e5\u8a62\u64f4\u5c55\u6aa2\uf96a\u7cfb\u7d71\u7684\u6548\u80fd\u3002\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u80fd\u5920\u6709\u6548\u63d0\u5347\u8cc7 \uf96a\u6548\u80fd\uff0c\u56e0\u70ba\u76ee\u524d\u7684\u5404\u7a2e\u5927\u578b\u6e2c\u8a66\u96c6\u63d0\u4f9b\u7684\u662f\u4e3b\u984c\u5f0f\u7684\u67e5\u8a62\u8cc7\u8a0a\u3002\u5982 TREC(Text REtrieval \u8a0a\u6aa2\uf96a\u7cfb\u7d71\u7684\u53ec\u56de\uf961(Recall)\uff0c\u800c\u6211\u5011\u8a8d\u70ba\u5728\uf944\u7d71\u67e5\u8a62\u4e0a\uff0c\u7531\u65bc\u4f7f\u7528\u8005\u7f3a\u4e4f\u76f8\u95dc\u7684\u8cc7\u8a0a\u8a73 Conference)\u3001CLEF(Cross Language Evaluation Forum)\u3001NTCIR(NII Test Collection for IR \u7d30\u63cf\u8ff0\u5176\u7cbe\u78ba\u7684\u8cc7\u8a0a\u9700\u6c42\uff0c\u6211\u5011\u53ef\u4ee5\u900f\u904e\u67e5\u8a62\u64f4\u5c55\u7684\u65b9\u6cd5\uff0c\u5e6b\u52a9\u4f7f\u7528\u8005\u627e\u5c0b\u5230\uf901\u591a\uf901\u76f8 Systems)\u7b49\u3002\u5404\u6e2c\u8a66\u96c6\u5178\u578b\u7684\u67e5\u8a62\u4e3b\u984c(Topic)\uff0c\u90fd\u662f\u4f7f\u7528\u4e3b\u984c\u7576\u95dc\u9375\u5b57\u63cf\u8ff0\u5176\u67e5\u8a62\u7684\u5167 \u95dc\u7684\u6587\u4ef6\u3002\u5728\u67e5\u8a62\u64f4\u5c55\u7684\u7814\u7a76\uff0c\u6211\u5011\u5c07\u7dad\u57fa\u767e\u79d1\u8996\u70ba\u540c\u7fa9\u8fad\u5178\uff0c\u4e26\u7d50\u5408\u865b\u64ec\u95dc\uf997\u56de\u994b\u7684 \u5bb9\uff0c\u800c\u9019\u4e9b\u67e5\u8a62\u4e3b\u984c\u662f\uf967\u5340\u5206\u70ba\u7cbe\u78ba\u6216\uf944\u7d71\u7684\u3002 \u6a5f\u5236\uff0c\u81ea\u52d5\u7684\u67e5\u8a62\u64f4\u5c55\uff0c\u4ee5\u63d0\u5347\u6aa2\uf96a\u7684\u6548\u80fd\u3002\u7dad\u57fa\u767e\u79d1\u64c1\u6709\u8d85\u93c8\u7d50\u7684\u7279\u6027\uff0c\u6bcf\u500b\u689d\u76ee(\u9801 \u5728\u672c\u7814\u7a76\u4e3b\u8981\u53ef\u4ee5\u5206\u70ba\uf978\u500b\u4e3b\u984c\uff0c\u7b2c\u4e00\u90e8\u5206\u662f\u5efa\u7f6e\uf944\u7d71\u67e5\u8a62\u4e4b\u8cc7\u8a0a\u6aa2\uf96a\u6e2c\u8a66\u96c6\uff0c\u4e3b \u9762)\u4e2d\u90fd\u5305\u542b\uf9ba\u8a31\u591a\u8d85\u93c8\u7d50\u7684\u93c8\u7d50\u6587\u5b57(anchor text)\uff0c\u800c\u9019\u4e9b\u5b57\u8a5e\u90fd\u662f\u8207\u689d\u76ee\u64c1\u6709\u9ad8\ufa01\u76f8\u95dc \u8981\u662f\u4f9d\u64da\u570b\u969b\u8cc7\u8a0a\u6aa2\uf96a\u6e2c\u8a66\u96c6\u6a5f\u69cb(TREC\u3001NTCIR)\uff0c\u4ee5\u6a19\u6e96\uf9ca\u7a0b\u5efa\u69cb\u5728 Web \u6587\u4ef6\u4e0a\u4f7f \u7684\u5b57\u8a5e\uff0c\u6211\u5011\u5c07\u9019\u4e9b\u76f8\u95dc\u5b57\u8a5e\u8996\u70ba\u67e5\u8a62\u64f4\u5c55\u7684\u5019\u9078\u8a5e\uff0c\u4e26\u8207\u865b\u64ec\u95dc\uf997\u56de\u994b\u4e2d\u7684\u5b57\u8a5e\u5171\u540c \u7528\uf944\u7d71\u67e5\u8a62\u7684\u8cc7\u8a0a\u6aa2\uf96a\u6e2c\u8a66\u96c6\u3002\u7b2c\u4e8c\u90e8\u4efd\u662f\u5c0d\u67e5\u8a62\u64f4\u5c55\u4f5c\u9032\u4e00\u6b65\u7684\u63a2\u8a0e\uff0c\u5176\u4e2d\u6211\u5011\u63d0\u51fa \u7af6\u9078\uff0c\u4ee5\u6311\u51fa\uf901\u591a\u76f8\u95dc\u7684\u8a5e\u5f59\u4f5c\u67e5\u8a62\u64f4\u5c55\u3002</td></tr></table>", | |
| "num": null | |
| }, | |
| "TABREF3": { | |
| "html": null, | |
| "type_str": "table", | |
| "text": "Wikigazer \u8a31\u5fd7\u5168\u3001\u5433\u4e16\u5f18 (http://wil.csie.cyut.edu.tw/Wikigazer/)\u7b49\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\uff0c\u5206\u5225\u4f7f\u7528\uf944\u7d71\u67e5\u8a62\u4ee5\u53ca\u7cbe\u78ba\u67e5\u8a62 \u4f5c\u67e5\u8a62\uff0c\u6bcf\u6b21\u67e5\u8a62\u53d6\u5f97\u6700\u591a 1000 \u7b46\u7684\u641c\u5c0b\u7d50\u679c\uff0c\u67e5\u8a62\u6642\u9593\u70ba 2009 \uf98e 1 \u6708\uff0c\u6240\u4ee5\u6bcf\u500b\u67e5 \u8a62\u4e3b\u984c\u6703\u7531 8 \u500b\u641c\u5c0b\u7d50\u679c\u5efa\u69cb\u6210\u4e00\u500b Pool\u3002\u5176\u4e2d Wikipedia \u53ca Wikigazer \u70ba\u7dad\u57fa\u767e\u79d1\u5c08\u5c6c \u7684\u641c\u5c0b\u5f15\u64ce\uff0c\u800c Google \u53ca Altavista \u5247\u662f\u900f\u904e\u6b64\uf978\u7a2e\u641c\u5c0b\u5f15\u64ce\u6307\u5b9a\u7db2\u57df\u641c\u5c0b\u4e2d\u6587\u7dad\u57fa\u767e\u79d1\uff0c \uf9b5\u5982:\u5175\u6cd5 site:zh.wikipedia.org\u3002 \u70ba\u6211\u5011\u5404\u500b\u67e5\u8a62\u4e3b\u984c\u7684 kappa \u503c\u7d71\u8a08\u5206\u6790\uff0c\u5176\u7e3d\u5e73\u5747 kappa \u503c\u70ba 0.91\uff0c\u6700\u5dee\u70ba \u67e5\u8a62\u4e3b\u984c\u7de8\u865f 22\uff0c\u5176 kappa \u70ba 0.63\uff0c\u800c\u7de8\u865f 5\u300117\u300120\uff0c\u662f\u4ecb\u65bc 0.67~0.8 \u4e4b\u9593\uff0c\u5176\u9918 30 \u500b\u67e5\u8a62\u4e3b\u984c\u7686\u9ad8\u65bc 0.8\u3002\u57fa\u65bc kappa \u7684\u7d71\u8a08\u5206\u6790\uff0c\u6211\u5011\u5c07\u6368\u68c4\u67e5\u8a62\u4e3b\u984c 022\uff0c\u5176\u9918 33 \u500b \u67e5\u8a62\u4e3b\u984c\u5247\u7528\u65bc\u8a55\u4f30\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u8207\u8cc7\u8a0a\u6aa2\uf96a\u7cfb\u7d71\u4e4b\u6548\u80fd\u3002", | |
| "content": "<table><tr><td>58 62</td><td>\u4ee5\uf944\u7d71\u67e5\u8a62\u8a55\u4f30\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u8207\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u4e4b\u8cc7\u8a0a\u6aa2\uf96a\u6548\u80fd \u4ee5\uf944\u7d71\u67e5\u8a62\u8a55\u4f30\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u8207\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u4e4b\u8cc7\u8a0a\u6aa2\uf96a\u6548\u80fd \u8a31\u5fd7\u5168\u3001\u5433\u4e16\u5f18 55 57 \u4ee5\uf944\u7d71\u67e5\u8a62\u8a55\u4f30\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u8207\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u4e4b\u8cc7\u8a0a\u6aa2\uf96a\u6548\u80fd 59 \u8a31\u5fd7\u5168\u3001\u5433\u4e16\u5f18 \u4ee5\uf944\u7d71\u67e5\u8a62\u8a55\u4f30\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u8207\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u4e4b\u8cc7\u8a0a\u6aa2\uf96a\u6548\u80fd 61 \u8a31\u5fd7\u5168\u3001\u5433\u4e16\u5f18 \u4ee5\uf944\u7d71\u67e5\u8a62\u8a55\u4f30\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u8207\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u4e4b\u8cc7\u8a0a\u6aa2\uf96a\u6548\u80fd 63</td></tr><tr><td colspan=\"2\">3.2 \u67e5\u8a62\u4e3b\u984c\u96c6 (Topic set) 4. \u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u8207\u7cfb\u7d71 5. \u5be6\u9a57\u7d50\u679c\u8207\u5206\u6790 5.4 \u5be6\u9a571\uff1a\u8a55\u4f30\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u8207\u67e5\u8a62\u64f4\u5c55\u6f14\u7b97\u6cd5 \u6848\u6392\u5e8f\u5728\u5f88\u524d\u9762\uff0c\u6240\u4ee5\u56b4\u8b39\u6240\u5f97\u5230\u7684 MAP \u503c\u624d\u6703\u9ad8\u65bc\u5bec\u9b06\u7684 MAP\u3002 \u5674\u767c\u3001\u5b6b\u5b50\u5175\u6cd5\u3001\u6b66\u7530\u3001 \u5674 \u767c \u3001 \u5b6b \u5b50 \u5175 \u6cd5 \u3001 \u6b66 \u98a8\uf9f4\u706b\u5c71\u3001(\u5927\u6cb3\u5287)\u3001</td></tr><tr><td colspan=\"2\">3. \u5efa\u7f6e\uf944\u7d71\u67e5\u8a62\u7684\u8cc7\u8a0a\u6aa2\uf96a\u6e2c\u8a66\u96c6 \u6211\u5011\u4ecb\u7d39\u5982\u4f55\uf9dd\u7528\u7dad\u57fa\u767e\u79d1\u5168\u66f8\u7684\u91cb\u51fa\u8cc7\uf9be(dump data)\u5efa\u7f6e\u6211\u5011\u7684\u8cc7\u8a0a\u6aa2\uf96a\u6e2c\u8a66\u96c6\uff0c\u4ee5 \u53ca\u5efa\u7f6e\u6e2c\u8a66\u96c6\u7684\u6210\u679c\u3002\u6211\u5011\u4f9d\u64da\u524d\u8ff0\u6240\u4ecb\u7d39\u7684\u6e2c\u8a66\u96c6\u5efa\u69cb\u4e4b\u6a19\u6e96\uf9ca\u7a0b\u5efa\u7f6e\u6e2c\u8a66\u96c6\uff0c\u5728\u4ee5 \u4e0b\u5206\u5225\u4ecb\u7d39\u6211\u5011\u6240\u5efa\u69cb\u7684\u6587\u4ef6\u96c6\u3001\u67e5\u8a62\u4e3b\u984c\u96c6\u3001\u76f8\u95dc\u5224\u65b7\u96c6\u3002 3.1 \u6587\u4ef6\u96c6 (Document Set) \u6211\u5011\u5e0c\u671b\u5efa\u69cb\u4e00\u500b\u7e41\u9ad4\u4e2d\u6587\u7684\u6587\u4ef6\u96c6\uff0c\u6240\u4ee5\u5fc5\u9808\u5c07\u7dad\u57fa\u767e\u79d1\u7684\u5167\u5bb9\u4f5c\u7c21\u9ad4\u4e2d\u6587\u8f49\u63db\u70ba\u7e41 \u9ad4\u4e2d\u6587\u7684\u8655\uf9e4\u3002\u5728\u672c\u7814\u7a76\u4e2d\u6211\u5011\u662f\u900f\u904e MediaWiki (http://www.mediawiki.org/)\u5efa\u7f6e\u672c\u5730 \u7aef\u7684\u7dad\u57fa\u767e\u79d1\u7db2\u7ad9\uff0c\u5c07\u7c21\u9ad4\u4e2d\u6587\u8207\u7e41\u9ad4\u4e2d\u6587\uf96b\u96dc\u7684\u5167\u5bb9\uff0c\u8f49\u63db\u70ba\u53ea\u6709\u7e41\u9ad4\u4e2d\u6587\u7684\u5167\u5bb9\u3002 \u6587\u4ef6\u6536\u96c6\uf9ca\u7a0b\u5982\u5716 3 \u6240\u793a\uff0c\u6211\u5011\u6703\u5c07\u7dad\u57fa\u767e\u79d1\u91cb\u51fa\u8cc7\uf9be\u4e2d\u547d\u540d\u7a7a\u9593\u689d\u76ee(Namespace Articles)\u4ee5\u53ca\u91cd\u5b9a\u5411\u689d\u76ee(Redirect Articles)\uf984\u9664\uff0c\u9019\u662f\u56e0\u70ba\u547d\u540d\u7a7a\u9593\u689d\u76ee\u4ee5\u53ca\u91cd\u5b9a\u5411\u689d\u76ee\uff0c \u4e26\u6c92\u6709\u767e\u79d1\u5168\u66f8\u5be6\u8cea\u4e0a\u7684\u8cc7\u8a0a\uff0c\u6240\u4ee5\u5fc5\u9808\u5c07\u5176\uf984\u9664\u3002\u6211\u5011\u7531\u7dad\u57fa\u767e\u79d1\u91cb\u51fa\u8cc7\uf9be\u6240\u64f7\u53d6\u689d \u76ee\u771f\u6b63\u6709\u5167\u5bb9\u7684\u6587\u4ef6\u96c6 211,147 \u7bc7\u3002 \u70ba\uf9ba\u4f7f\u6e2c\u8a66\u96c6\u7684\u8a55\u6bd4\uf901\u63a5\u8fd1\u771f\u5be6\u7684\u8cc7\u8a0a\u6aa2\uf96a\u74b0\u5883\uff0c\u67e5\u8a62\u4e3b\u984c\u7684\u5efa\uf9f7\u901a\u5e38\u90fd\u662f\u900f\u904e\u771f\u5be6\u4f7f \u7528\u8005\u5c0d\u65bc\u8cc7\u8a0a\u7684\u9700\u6c42\uff0c\u4e26\u4e14\u9808\u6db5\u84cb\u591a\u500b\uf967\u540c\u7684\u4e3b\u984c\u3002\u6240\u4ee5\u6211\u5011\u6536\u96c6\uf9ba\u771f\u5be6\u4f7f\u7528\u8005\u5c0d\u65bc\u7dad \u57fa\u767e\u79d1\u7684\u8cc7\u8a0a\u9700\u6c42\u3002\u70ba\uf9ba\u8a55\u4f30\u73fe\u6709\u7684\u8cc7\u8a0a\u6aa2\uf96a\u7cfb\u7d71\uff0c\u662f\u5426\u80fd\u5920\u6eff\u8db3\u4f7f\u7528\u8005\u4f5c\uf944\u7d71\u67e5\u8a62\uff0c \u6211\u5011\u91dd\u5c0d\u6709\u7f3a\u4e4f\u7cbe\u78ba\u95dc\u9375\u5b57\u77e5\uf9fc\u7d93\u9a57\u7684\u4f7f\u7528\u8005\u6536\u96c6\u5176\u67e5\u8a62 \u3002\u6211\u5011\u900f\u904e\u8a2a\u8ac7\u6536\u96c6\u4f7f\u7528\u8005\u5728 \u5c0b\u627e\u8cc7\u8a0a\u6642\uff0c\u77e5\u9053\u81ea\u5df1\u7b2c\u4e00\u6b21\u67e5\u8a62\u6642\u4f7f\u7528\u7684\u95dc\u9375\u5b57\u662f\uf967\u7cbe\u78ba\u7684\uff0c\u4e26\u4e14\u7d93\u904e\u5e7e\u6b21\u67e5\u8a62\u53ef\u4ee5 \u627e\u5230\u53ef\u4ee5\u6eff\u8db3\u7684\u8cc7\u8a0a\u9700\u6c42\u7684\u6587\u4ef6\u3002\u4f7f\u7528\u8005\u4fee\u6539\u5176\u539f\u59cb\u7684\u67e5\u8a62\u95dc\u9375\u5b57\u6700\u7d42\u627e\u5230\u9700\u8981\u7684\u6587\u4ef6\uff0c \u9019\u4e9b\u4fee\u6b63\u524d\u5f8c\u7684\u67e5\u8a62\u5c31\u662f\u6211\u5011\u6240\u8981\u8490\u96c6\u7684\u67e5\u8a62\u4e3b\u984c\u3002 \u6311\u9078\u67e5\u8a62\u7e3d\u5171\u6709\u4e09\u500b\u968e\u6bb5\u7684\u7be9\u9078\uff0c\u7b2c\u4e00\u968e\u6bb5\uff0c\u4f9d\u64da\u4ee5\u4e0a\u7684\u5047\u8a2d\u8490\u96c6\uff0c\u6211\u5011\u5171\u6536\u96c6\uf9ba 84 \u500b\uf944\u7d71\u67e5\u8a62\u3002\u5728\u7b2c\u4e8c\u968e\u6bb5\uff0c\u4f7f\u7528\u641c\u5c0b\u5f15\u64ce\u8f14\u52a9\uff0c\u4f7f\u7528\uf944\u7d71\u67e5\u8a62\u5230\u7dad\u57fa\u767e\u79d1\u5b98\u65b9\u641c\u5c0b\u5f15 \u64ce\u4f5c\u6aa2\uf96a\uff0c\u5728\u524d Top 40 \u7b46\u641c\u5c0b\u7d50\u679c\u4e2d\u5fc5\u9808\u6709\u4e09\u7bc7\u4ee5\u4e0a\u4f7f\u7528\u8005\u8a8d\u70ba\u975e\u5e38\u76f8\u95dc\u6216\u76f8\u95dc\u7684\u6587\u4ef6\uff0c \u5982\u679c\u6c92\u6709\u5247\u5c07\u6b64\u67e5\u8a62\uf984\u9664\u3002\u6700\u5f8c\u518d\u7531\u4f7f\u7528\u8005\u7d93\u7531\u591a\u6b21\u7684\u6aa2\uf96a\u8207\u95b1\uf95a\u5176\u6240\u9700\u7684\u8cc7\u8a0a\uff0c\u4fee\u6539 \uf944\u7d71\u67e5\u8a62\u6210\u7cbe\u78ba\u67e5\u8a62\uff0c\u5c07\u9019\u4e9b\u8cc7\u8a0a\u4f5c\uf901\u8a73\u7d30\u7684\u63cf\u8ff0\u3002\u5982\u679c\u767c\u73fe\u6b64\u67e5\u8a62\u4e3b\u984c\uf967\u9069\u7528\u9019\u500b\uf9ca \u7a0b\u5247\u5c07\u5176\u522a\u9664\u3002 \u7d93\u7531\u4e09\u968e\u6bb5\u7be9\u9078\u5f8c\uff0c\u6211\u5011\u7e3d\u5171\u5efa\uf9f7 34 \u500b\u67e5\u8a62\u4e3b\u984c\u3002\u6211\u5011\u6240\u5efa\u69cb\u67e5\u8a62\u4e3b\u984c\u96c6\u5404\u7a2e\u4f7f \u7528\u7684\u6a19\u8a18(Tag)\u53ca\u5176\u5b9a\u7fa9\u5982\u8868 4 \u6240\u793a\u3002 \u88684. \u6211\u5011\u5efa\u7f6e\u7684\u67e5\u8a62\u4e3b\u984c\u6a19\u8a18\uf96f\u660e Tags Description <TOPIC> </TOPIC> The tag for each topic <NUM> </NUM> Topic identifier <SLANG> </SLANG> Source language code: CH <TLANG> </TLANG> Source language code: CH < C-Query> </ C-Query> The concise representation of the general query <DESC> </DESC> Description of this topic with one sentence <NARR> </NARR> Length description of this topic, which contains two more tags: <BACK>, and<REL> <BACK> </BACK> The background knowledge of the topic <REL> </REL> How to judge the relevance < EXACT > </ EXACT > The concise representation of information request, which is composed of noun or noun phrase. \u7576\u5b8c\u6210\u4e0a\u8ff0\u4e4b\u524d\u8655\uf9e4\u5f8c\uff0c\u6211\u5011\u5c07\u5efa\u69cb\u6bcf\u500b\u67e5\u8a62\u4e3b\u984c\u7684 Pool(\u76f8\u95dc\u5019\u9078\u6587\u4ef6)\uff0c\u4ee5\u63d0\u4f9b \u76f8\u95dc\u5224\u65b7\u8005\u4f5c\u5224\u65b7\u3002\u5efa\u69cb Pool \u4e4b\u5f8c\uff0c\u6bcf\u500b\u67e5\u8a62\u4e3b\u984c\u7686\u6709\uf978\u4eba\uf96b\u8207\u76f8\u95dc\u5224\u65b7\uff0c\u6bcf\u7bc7\u6587\u4ef6\u8207 \u67e5\u8a62\u4e3b\u984c\u76f8\u95dc\u7a0b\ufa01\u662f\u4f9d\u64da NTCIR \u6240\u8a02\u5b9a\u7684\u56db\u500b\u5c64\u7d1a(2.1 \u5c0f\u7bc0)\uff0c\u4e4b\u5f8c\u7d50\u5408\uf978\u4f4d\u76f8\u95dc\u5224\u65b7 \u8005\u4e4b\u5224\u65b7\u5206\uf969\uff0c\u662f\u900f\u904e\u516c\u5f0f(8)\u8a08\u7b97\uff0c\u4e26\u4e14\uf96b\u7167 NTCIR \u4e4b\u5bec\u9b06\u53ca\u56b4\u8b39\u9580\u6abb\u503c\uff0c0.3333 \u8207 0.6667\uff0c\u7522\u751f\uf978\u7d44\u76f8\u95dc\u5224\u65b7\u96c6\uff0c\u5373\u5bec\u9b06\u76f8\u95dc\u5224\u65b7\u96c6\u4ee5\u53ca\u56b4\u8b39\u76f8\u95dc\u5224\u65b7\u96c6\u3002 (8) \u6211\u5011\uf9dd\u7528 kappa \u7d71\u8a08\uf97e\uff0c\u7d71\u8a08\u6bcf\u500b\u67e5\u8a62\u4e3b\u984c\u7684\uf978\u4f4d\u5224\u65b7\u8005\u6240\u505a\u5224\u65b7\u4e4b\u4e00\u81f4\u6027\u5206\u6790\uff0c \u5176\u516c\u5f0f\u5982(9)\u6240\u793a\uff0ckappa \u7684\u5047\u8a2d\u70ba:\u5224\u65b7\u8005\u5728\u6709\u610f\uf9fc\u7684\u60c5\u6cc1\u4e0b\u6240\u505a\u7684\u5224\u65b7\uff0c\u5176\u4e00\u81f4\u6027\u7684\u7d50 \u679c\u61c9\u8a72\u5927\u65bc\u96a8\u6a5f\u5224\u65b7\u7684\u7d50\u679c\uff0c\u5176\u4e2d P(A)\u70ba\uf978\u4f4d\u5224\u65b7\u8005\u6240\u505a\u7684\u5224\u65b7\u4e2d\uff0c\u89c0\u6e2c\u5230\u4e00\u81f4\u6027\u5224\u65b7 \u7684\u6a5f\uf961\uff0cP(E)\u5247\u4ee3\u8868\u70ba\uf978\u4f4d\u5224\u65b7\u8005\u5076\u7136\u4e00\u81f4\u6027\u5224\u65b7\u7684\u6a5f\uf961\u3002\u6839\u64da An Introduction to Information Retrieval(Manning, Raghavan, & Sch\u00fctze,2008)\u7b2c\u516b\u7ae0\u6240\uf96f\u660e\uff0ckappa \u503c\u5927\u65bc 0.8 \u70ba\u5c6c\u65bc\u597d\u7684\u4e00\u81f4\u6027\u5224\u65b7\uff0c\uf974\u501f\u65bc 0.67~0.8 \u4e4b\u9593\u5247\u5c6c\u65bc\u80fd\u8a8d\u53ef\u7684\u4e00\u81f4\u6027\u5224\u65b7\uff0c\u5982\u679c\u5c0f\u65bc 0.67 \u5247\u5c6c\u65bc\uf967\u597d\u7684\u5224\u65b7\u3002 ( ) ( ) 1 ( ) P A P E kappa P E \u2212 = \u2212 (9) 0.600 0.700 0.800 0.900 1.000 1 2 3 4 5 6 7 8 9 10111213141516171819202122232425262728293031323334 ( ) A B avg X X R Z + = 4.1 \u7dad\u57fa\u767e\u79d1\u67e5\u8a62\u64f4\u5c55 (Wikipedia Query Expansion) \u7dad\u57fa\u767e\u79d1\u67e5\u8a62\u64f4\u5c55\u7684\u6982\uf9a3\uff0c\u662f\uf9dd\u7528\u7dad\u57fa\u767e\u79d1\u64c1\u6709\u9ad8\u54c1\u8cea\u3001\uf901\u65b0\u8fc5\u901f\u7684\u7279\u6027\uff0c\u7576\u4f5c\u662f\u984d\u5916 \u7684\u540c\u7fa9\u8fad\u5178\uff0c\u4ee5\u6b64\u8f14\u52a9\u865b\u64ec\u95dc\uf997\u56de\u994b\u6a5f\u5236\u7684\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u3002\u7dad\u57fa\u767e\u79d1\u4e2d\u6bcf\u500b\u9801\u9762(\u689d\u76ee) \u90fd\u6709\u4e00\u500b\u552f\u4e00\u7684\u6a19\u984c\uff0c\u800c\u5728\u6bcf\u500b\u9801\u9762\u4e2d\u90fd\u5305\u542b\uf9ba\u5404\u7a2e\u8d85\u93c8\u7d50\u4ee5\u53ca\u5176\u93c8\u7d50\u6587\u5b57\uf99a\u7e6b\u5230\u5176\u5b83 \u76f8\u95dc\u7684\u689d\u76ee\uff0c\u800c\u9019\u4e9b\u93c8\u7d50\u6587\u5b57\u5373\u70ba\u8207\u6b64\u689d\u76ee\u9ad8\ufa01\u76f8\u95dc\u4e14\u91cd\u8981\u7684\u5b57\u8a5e\uff0c\uf9dd\u7528\u539f\u59cb\u7684\u67e5\u8a62\u4e2d \u7684\u95dc\u9375\u5b57\uff0c\u8207\u7dad\u57fa\u767e\u79d1\u4e2d\u7684\u689d\u76ee\u540d\u7a31\u6bd4\u5c0d\uff0c\u4e26\u6536\u96c6\u6b64\u689d\u76ee\u4e2d\u7684\u93c8\u7d50\u6587\u5b57\u4f5c\u70ba\u67e5\u8a62\u64f4\u5c55\u7684 \u5019\u9078\u5b57\u8a5e\u3002\u6b64\u65b9\u6cd5\u5728 NTCIR-7 IR4QA \u7684\u4efb\u52d9\u4e2d\uff0c\u5df2\u8b49\u660e\u9069\u7576\u7684\u4f7f\u7528\u7dad\u57fa\u767e\u79d1\u67e5\u8a62\u64f4\u5c55\uff0c \u53ef\u4ee5\u6709\u6548\u7684\u589e\u9032\u6aa2\uf96a\u6548\u80fd(Hsu, Li, Chen & Wu, 2008)\u3002 \u5728\u4ee5\u4e0a\u7684\u7dad\u57fa\u767e\u79d1\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\uff0c\u53ea\u8003\u616e\u5230\u689d\u76ee\u4e2d\u7684\u8d85\u93c8\u7d50\uff0c\u4ea6\u5373\u53ea\u4f7f\u7528\u5230\u93c8\u7d50\u7d50 \u98a8\uf9f4\u706b\u5c71\u3001\u5b6b\u5b50\u3001\u8056\u6d77 \u7530\u3001\u98a8\uf9f4\u706b\u5c71\u3001\u5b6b\u5b50\u3001 \u65e5\u672c\u6230\u570b\u3001\u6b66\u7530\u4fe1\u7384\u3001 \u6211\u5011\u7e3d\u5171\u6709\u4e09\u7a2e\u5be6\u9a57\uff0c\u9019\u4e09\u7a2e\u5be6\u9a57\u6240\u4f7f\u7528\u7684\u8cc7\uf9be\u70ba\u6211\u5011\u6240\u5efa\u7f6e\u7684\uf944\u7d71\u67e5\u8a62\u7684 Web \u8cc7\u8a0a\u6aa2 \uf96a\u6e2c\u8a66\u96c6\u3002\u5be6\u9a57\u4e00\u70ba\u4f7f\u7528\u6b64\u6e2c\u8a66\u96c6\u8a55\u4f30\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u4ee5\u53ca\u67e5\u8a62\u64f4\u5c55\u6aa2\uf96a\u7cfb\u7d71\u7684\u6aa2\uf96a\u6548\u80fd\uff0c \u800c\u6211\u5011\u6240\u4f7f\u7528\u7684\u67e5\u8a62\u64f4\u5c55\u6aa2\uf96a\u7cfb\u7d71\u70ba 2.3 \u7bc0\u6240\u4ecb\u7d39\u7684 Okapi BM25\u3002\u5be6\u9a57\u4e8c\u70ba 4.1 \u7bc0\u6240\u4ecb \u7d39\u7684\u7d93\u7531\u7dad\u57fa\u767e\u79d1\u67e5\u8a62\u64f4\u5c55\u7684\u6548\u80fd\u8a55\u4f30\u3002 5.4.1 \u5be6\u9a57\uf96f\u660e \u672c\u5be6\u9a57\u4e3b\u8981\u8a55\u4f30\u7684\u76ee\u6a19\u70ba\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u8207\u67e5\u8a62\u64f4\u5c55\u6f14\u7b97\u6cd5\uff0c\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u6709\uff1aGoogle\u3001 Wikipedia \u5b98\u65b9\u641c\u5c0b\u5f15\u64ce\u3001Altavist\u3001Wikigazer\uff0c\u67e5\u8a62\u64f4\u5c55\u6f14\u7b97\u6cd5\u70ba\u539f\u59cb\u7684 Okapi BM25\uff0c \u5176 Okapi \uf96b\uf969\u8a2d\u5b9a\u70ba:K1=1.2\u3001K3=7\u3001B=0.75\uff0c\u865b\u64ec\u95dc\uf997\u56de\u994b\u6587\u4ef6\u662f\u7b2c\u4e00\u6b21\u6aa2\uf96a\u7684 Top 100 \u7bc7\u6587\u4ef6\uff0c\u4e26\u4f7f\u7528\u6a19\u6e96\u7684 TFIDF \u8a08\u7b97 Top 100 \u7bc7\u6587\u4ef6\u4e2d\u7684\u67e5\u8a62\u64f4\u5c55\u5019\u9078\u5b57\u8a5e\uff0c\u6700\u5f8c\u6311\u9078 50 5.5 \u5be6\u9a572\uff1a\u7dad\u57fa\u767e\u79d1\u67e5\u8a62\u64f4\u5c55 5.5.1 \u5be6\u9a57\uf96f\u660e \u5728\u672c\u5be6\u9a57\u4e2d\uff0c\u6211\u5011\u5c07\u9032\ufa08\uf978\u7a2e\u5be6\u9a57\uff0c\u5be6\u9a57 2-1 \u70ba\u4f7f\u7528\u7dad\u57fa\u767e\u79d1\u4e2d\u7684\u93c8\u51fa\u93c8\u7d50\u8207\u93c8\u5165\u93c8\u7d50 \u7684\u93c8\u7d50\u6587\u5b57\u540c\u6642\u4f5c\u70ba\u67e5\u8a62\u64f4\u5c55\u7684\u5019\u9078\u5b57\u8a5e\uff0c\u5728\u6b64\u7a31\u5176\u67e5\u8a62\u64f4\u5c55\u65b9\u5f0f\u70ba WikiQE out+in \uff0c\u4e26\u8207 \uf9d4\u706b\u5c71\u3001\u7206\u767c\u3001\u5c71\u9da5\u3001 \u8056\u6d77\uf9d4\u706b\u5c71\u3001\u7206\u767c\u3001\u5c71 \u4e2d\u570b\u3001\u5b6b\u5b50\u5175\u6cd5\u3001\u5b6b General \uf9f4\u5cef\u3001\u6b66\u7530\u4fe1\u7384\u3001\u706b\u661f\u3001 \u9da5\u3001\uf9f4\u5cef\u3001\u6b66\u7530\u4fe1\u7384\u3001 \u5b50\u3001\u5357\uf963\u671d\u6642\u4ee3\u3001\u5967 Query \u5ca9\u6f3f\u3001\u53f8\u99ac\u4f37\u3001\u8056\u6258\uf9e9 \u706b\u661f\u3001\u5ca9\u6f3f\u3001\u53f8\u99ac\u4f37\u3001 \u5dde\u3001\uf963\u7560\u986f\u5bb6\u3001\u8db3\uf9dd\u5c0a \u98a8\uf9f4\u706b \u5c3c\u3001\u706b\u5c71\u7206\u767c\u3001\u6d77\uf9d4\u3001 \u8056\u6258\uf9e9\u5c3c\u3001\u706b\u5c71\u7206\u767c\u3001 \u6c0f\u3001\u6751\u4e0a\u6e90\u6c0f\u3001\u4e95\u4e0a \u5c71\u3001\u5175\u6cd5\u3001 helens\u3001\u6b66\u8005\u3001\u5730\u8cea\u3001\u53f8 \u98a8\uf9f4\u706b\u5c71\u3001(\u5927\u6cb3\u5287)\u3001 \u9756\u3001\u8ecd\u5e2b\u3001\u5c71\u672c\u52d8\u52a9\u3001 \u8b00\uf976 \u99ac\u6cd5\u3001\u516c\u5712\u3001\u5c07\u8ecd\u3001\u53f8 \u65e5\u672c\u6230\u570b\u3001\u6b66\u7530\u4fe1\u7384\u3001 \u98a8\uf9f4\u706b\u5c71\u3001(\u5927\u6cb3\u5287)\u3001 5.1 \u5be6\u9a57\u7684\u76ee\u7684\u8207\u9650\u5236 \u5728\u672c\u6587\u4e2d\uff0c\u4e3b\u8981\u4f7f\u7528\u7684\u8cc7\uf9be\u70ba 2009 \uf98e 1 \u6708 16 \u65e5\u4e2d\u6587\u7dad\u57fa\u767e\u79d1\u7684\u91cb\u51fa\u8cc7\uf9be\u6240\u5efa\u69cb\u7684\u6e2c\u8a66 \u96c6\uff0c\u800c\u6211\u5011\u6240\u4f7f\u7528\u7684\u8a55\u5206\u65b9\u5f0f\u70ba MAP\uff0c\u6211\u5011\u5be6\u9a57\u7684\u4e3b\u8981\u76ee\u7684\u70ba\u8a55\u4f30\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u7684\u6aa2\uf96a \u6548\u80fd\uff0c\u4ee5\u53ca\u5404\u7a2e\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u5728\u6aa2\uf96a\u6548\u80fd\u4e0a\u7684\u8a55\u4f30\u3002\u5728\u6aa2\uf96a\u6642\u6240\u4f7f\u7528\u7684\u67e5\u8a62\u6709\uf978\u7a2e\uff0c\u4e00 \u70ba\uf944\u7d71\u67e5\u8a62\uff0c\u6211\u5011\u7a31\u4f7f\u7528\uf944\u7d71\u67e5\u8a62\u4f5c\u6aa2\uf96a\u70ba C-run\uff0c\u53e6\u70ba\u7cbe\u78ba\u67e5\u8a62\uff0c\u800c\u4f7f\u7528\u7cbe\u78ba\u67e5\u8a62\u4f5c \u500b\u5b57\u8a5e\u4f5c\u67e5\u8a62\u64f4\u5c55\u3002 5.4.2 \u5be6\u9a571\u7d50\u679c \u99ac\u3001mount\u3001\u52a0\uf952\u6bd4\u677f \u4e2d \u570b \u3001 \u5b6b \u5b50 \u5175 \u6cd5 \u3001 \u5b6b \u4e2d\u570b\u3001\u5175\u5bb6\u3001\u4e2d\u570b\u3001\u5b78 Okapi BM25 \u7684 PRF \u4e2d\u7684\u5b57\u8a5e\u5171\u540c\u7af6\u9078\uff0c\u5728\u6b64\u7a31\u7531 Okapi BM25 \u7684 PRF \u67e5\u8a62\u64f4\u5c55\u65b9\u5f0f\u70ba \u584a\u3001\u706b\u5c71\u788e\u5c51\u3001\u677f\u584a\u3001 \u5b50 \u3001 \u5357 \uf963 \u671d \u6642 \u4ee3 \u3001 \u5967 \u8853\u3001\u77e5\uf9fc\u4efd\u5b50\u3001\u5112\u3001\u6cd5\u3001 OkapiQE\uff0c\u6b64\u5be6\u9a57\u4e2d\u6703\u5448\u73fe\u4f7f\u7528 WikiQE out+in \u8207 OkapiQE \uf967\u540c\u6bd4\u91cd\u7684\u67e5\u8a62\u64f4\u5c55\u6548\u80fd\u3002\u5be6\u9a57 \u788e\u5c51\u3001\u6d3b\u706b\u5c71\u3001\u8ecd\u4e8b\u3001 \u5dde\u3001\uf963\u7560\u986f\u5bb6\u3001\u8db3\uf9dd\u5c0a \u664f\u6b66\u3001\u4fee\u6587\u3001\u653f\u6cbb\u3001\u6587 2-2 \u70ba\uf901\u8a73\u7d30\u5340\u5206\u7dad\u57fa\u767e\u79d1\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\uff0c\u5c07\u5176\u5340\u5206\u70ba\u93c8\u51fa\u93c8\u7d50 (WikiQE out )\u3001\u93c8\u5165\u93c8\u7d50 \u5927\u25a1\u3001\u7070\u7374\u3001\uf925\u68ee\u706b\u5c71\u3001 \u6c0f \u3001 \u6751 \u4e0a \u6e90 \u6c0f \u3001 \u4e95 \u4e0a \u4e8b\u3001\u5236\ufa01\u3001\u5b8b\u3001\u660e\u3001\u5b6b \u88685. C-run\uff1a\u4f7f\u7528\u5bec\u9b06\u8a55\u4f30\u5404\u641c\u5c0b\u5f15\u64ce\u4ee5\u53caOkapi\u4e4bMAP (WikiQE in )\u8207 OkapiQE\uff0c\u91dd\u5c0d\uf967\u540c\u6bd4\u91cd\u7684\u67e5\u8a62\u64f4\u5c55\u6bd4\u8f03\u3002 \u6230\uf976\u3001\u5b6b\u81cf\u5175\u6cd5\u3001\u5b6b\u81cf\u3001 \u9756\u3001\u8ecd\u5e2b\u3001\u5c71\u672c\u52d8\u52a9\u3001 \u5b50\u5175\u6cd5\u3001\u4e2d\u570b\u3001\uf9d1\u97dc\u3001 Exact \u69cb\u4e2d\u7684\u93c8\u51fa\u93c8\u7d50\uff0c\u800c\u5728\u672c\u7bc7\uf941\u6587\u4e2d\u6211\u5011\u9084\u4f7f\u7528\uf9ba\u93c8\u5165\u93c8\u7d50\u7684\u93c8\u7d50\u6587\u5b57\u7684\u8cc7\u8a0a\uff0c\u56e0\u70ba\u6b64\u8cc7 \u8a0a\u8207\u93c8\u51fa\u93c8\u7d50\u76f8\u540c\uff0c\u5f88\u53ef\u80fd\u4e5f\u662f\u6709\u9ad8\ufa01\u76f8\u95dc\u4e14\u91cd\u8981\u7684\u8cc7\u8a0a\uff0c\u6240\u4ee5\u6211\u5011\u5c07\u5176\u52a0\u5165\u5230\u7dad\u57fa\u767e \u79d1\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u4e2d\uff0c\u4ee5\u671f\u80fd\u5920\u627e\u51fa\uf901\u591a\u76f8\u95dc\u7684\u5b57\u8a5e\uff0c\u589e\u9032\u6aa2\uf96a\u7684\u6548\u80fd\u3002 \u5716 5 \u70ba\u6211\u5011\u67e5\u8a62\u64f4\u5c55\u6aa2\uf96a\u7cfb\u7d71\u7684\u7cfb\u7d71\uf9ca\u7a0b\u5716\uff0c\u6211\u5011\u4f7f\u7528 OKAPI BM25 \u4f5c\u70ba\u6392\u5e8f\u7684\u6f14 \u7b97\u6cd5\uff0cBM25 \uf96b\uf969\u8a2d\u5b9a\u70ba\uff1ak 1 =1.2\u3001k 3 =7\u3001b=0.75\u3002\u6211\u5011\u7cfb\u7d71\u7684\u6aa2\uf96a\u53ef\u4ee5\u5206\u70ba\u4e09\u500b\u6b65\u9a5f\uff0c \u9996\u5148\u7531\u7b2c\u4e00\u6b21\u6aa2\uf96a\u7684\u7d50\u679c\u4e2d\u53d6\u51fa Top 100 \u7bc7\u6587\u4ef6\u4f5c\u70ba\u865b\u64ec\u95dc\uf997\u56de\u994b\u7684\u6587\u4ef6\uff0c\u7b2c\u4e8c\uff0c\u7531\u7dad Okapi* Google Wikigazer* Altavista Wikipedia \u5728\u9019\uf978\u500b\u5be6\u9a57\uff0c\u6211\u5011\u5c07\u9032\ufa08\u4f7f\u7528\uf967\u540c\u7684\u67e5\u8a62\u64f4\u5c55\u5b57\u8a5e\uf969\uff0c\u7531 10\u300120 \u5230 500\uff0c\u5206\u5225\u4f7f \u8ecd\u5718\u3001accessed\u3001\uf955\u65e5\u3001 \u98a8\uf9f4\u706b\u5c71\u3001(\u5927\u6cb3\u5287)\u3001 \u5f35\uf97c\u3001\u4e2d\u570b\u4eba\u6c11\u89e3\u653e Query \u6aa2\uf96a\u5247\u70ba E-run\u3002\u5728\u8a55\u5206\u6642\u6240\u4f7f\u7528\u7684\u7b54\u6848\u4e5f\u5206\u70ba\u5bec\u9b06(Relax)\u8207\u56b4\u8b39(Rigid)\uf978\u500b\u7b54\u6848\u96c6\u3002\u6240 \u4ee5\u5728\u6bcf\u500b\u8a55\u4f30\u4e0a\u6703\u53d6\u5f97 4 \u7a2e\u7d50\u679c\u3002\u6211\u5011\u7684\u6aa2\uf96a\u7cfb\u7d71\u4e3b\u8981\u662f\u4f7f\u7528 Okapi BM25\uff0c\u5176 Okapi \uf96b\uf969\u8a2d\u5b9a\u70ba:K1=1.2\u3001K3=7\u3001B=0.75\u3002 Relax-MAP 0.184 0.145 0.133 0.087 0.082 \u88686. C-run\uff1a\u4f7f\u7528\u56b4\u8b39\u8a55\u4f30\u5404\u641c\u5c0b\u5f15\u64ce\u4ee5\u53caOkapi\u4e4bMAP Okapi* Google Wikigazer Altavista Wikipedia mandarin\u3001mountains\u3001 \u4e2d\u570b\u3001\u5175\u5bb6\u3001\u4e2d\u570b\u3001\u5b78 \u8ecd\u3001\u4e2d\u570b\u5171\u7522\u9ee8\u3001\u7f8e \u5b6b\u5b50\u5175 \u7528\uf92d\u81ea\u65bc\uf967\u540c\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u7684\u6bd4\u91cd\u4f5c\u67e5\u8a62\u64f4\u5c55\uff0c\u5be6\u9a57\u4e2d\u5206\u5225\u4f7f\u7528\uf944\u7d71\u67e5\u8a62\u8207\u7cbe\u78ba\u67e5\u8a62\uff0c \uf9e9\u5179\u3001\u677f\u57a3\u4fe1\u65b9\u3001\u6b21\u9ace\u3001 \u8853\u3001\u77e5\uf9fc\u4efd\u5b50\u3001\u5112\u3001\u6cd5\u3001 \u570b\u3001\u524d512\uf98e\u3001\u5433\u695a\u4e4b \u6cd5\u3001\u5b6b\u6b66\u5175 \u4e14\u8a55\u5206\u6642\u4e5f\u5340\u5206\u70ba\u5bec\u9b06\u8207\u56b4\u8b39\u3002\u7531\u65bc\u5be6\u9a57\u7684\uf969\u64da\u592a\u904e\u9f90\u5927\uff0c\u6240\u4ee5\u6211\u5011\u53ea\u91dd\u5c0d 10~50 \u7684\u67e5 \u8a62\u64f4\u5c55\u5b57\u8a5e\uf969\u7684\u7279\u5225\uf969\u64da\u4f5c\u5448\u73fe\u3002 \u570b\u5bb6\u3001\u5ddd\u4e2d\u5cf6\u3001\uf9e3\u706b\u5c71\u3001 \u664f\u6b66\u3001\u4fee\u6587\u3001\u653f\u6cbb\u3001\u6587 \u6230\u3001\u9ec3\u5e1d\u3001\u98a8\u5f8c\u3001\u63e1\u5947 \u6cd5\u3001\u5b6b\u5b50\u3001 \u5716 9. E-run\uff1a\uf967\u540c\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u6bd4\u91cd\u8207\uf967\u540c\u64f4\u5c55\u5b57\u8a5e\uf969\u4e4b\u56b4\u8b39 MAP \u5f62\u6210\u3001harris\u3001\u4e5d\ufa09\u98a8 \u4e8b\u3001\u5236\ufa01\u3001\u5b8b\u3001\u660e\u3001\u5b6b \u7d93\u3001\u4e2d\u570b\u5171\u7522\u9ee8\u3001\u6297\u65e5 \u5b6b\u6b66 5.2 \u5be6\u9a57\u7684\u524d\u8655\uf9e4 \u7531\u65bc\u4e2d\u6587\u8a9e\u7cfb\u55ae\u5b57\u8207\u55ae\u5b57\u4e4b\u9593\u4e26\u6c92\u6709\u4ee5\u7a7a\u683c\u9694\u958b\uff0c\u56e0\u6b64\u5728\u4e2d\u6587\u8a9e\u8a00\u7684\u8cc7\u8a0a\u6aa2\uf96a\u4e2d\uff0c\u5c07\uf906 Rigid-MAP 0.185 0.126 0.119 0.078 \u7531\u5716 6~\u5716 9 \u7684\u5be6\u9a57\u7d50\u679c\u4e2d\uff0c\u6211\u5011\u6b78\u7d0d\u4ee5\u4e0b\u5e7e\u500b\u91cd\u9ede\uff1a \u5b50\u5175\u6cd5\u3001\u4e2d\u570b\u3001\uf9d1\u97dc\u3001 \u6230\u722d\u3001\u516b\uf937\u8ecd 0.078 \u88687. E-run\uff1a\u4f7f\u7528\u5bec\u9b06\u8a55\u4f30\u5404\u641c\u5c0b\u5f15\u64ce\u4ee5\u53caOkapi\u4e4bMAP 5.5.2 \u5be6\u9a572-1\u7d50\u679c \u5716 7. C-run\uff1a\uf967\u540c\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u6bd4\u91cd\u8207\uf967\u540c\u64f4\u5c55\u5b57\u8a5e\uf969\u4e4b\u56b4\u8b39 MAP \u5f35\uf97c (1)\u7dad\u57fa\u767e\u79d1\u67e5\u8a62\u64f4\u5c55\u7684\u78ba\u53ef\u4ee5\u6539\u9032\u6aa2\uf96a\u7684\u6548\u80fd\uff0c\u7121\uf941\u662f\u5728\u4f7f\u7528\uf944\u7d71\u67e5\u8a62\u6216\u7cbe\u78ba\u67e5\u8a62\uff0c \u57fa\u767e\u79d1\u4e2d\u64f7\u53d6\u51fa\u8207\u67e5\u8a62\u5b57\u8a5e\u76f8\u95dc\u7684\u5b57\u8a5e\uff0c\u7b2c\u4e09\uff0c\u4f7f\u7528 TF-IDF \u8a08\u7b97\u67e5\u8a62\u64f4\u5c55\u5019\u9078\u5b57\u7684\u6b0a \u91cd\uff0c\u6700\u5f8c\u7531\u9019 Top 100 \u7bc7\u865b\u64ec\u95dc\uf997\u56de\u994b\u6587\u4ef6\u548c\u7dad\u57fa\u767e\u79d1\u7db2\u7ad9\u4e2d\uff0c\u6311\u9078\u51fa n \u500b\u67e5\u8a62\u64f4\u5c55\u5b57 \u8a5e\u52a0\u5165\u539f\u59cb\u67e5\u8a62\u4e4b\u4e2d\uff0c\u4f5c\u67e5\u8a62\u64f4\u5c55\uff0c\u6700\u5f8c\u518d\u9032\ufa08\u7b2c\u4e8c\u6b21\u7684\u6aa2\uf96a \u6b64\u60c5\u5f62\u4e0b\uff0c\u4f7f\u7528 MAP \u8a55\u4f30\u6642\u5176\u5206\u6bcd\u6703\u7e2e\u5c0f\u8a31\u591a\uff0c\u800c\u9019\u4e9b\u7cfb\u7d71\u6392\u5e8f\u7684\u65b9\u5f0f\u53c8\u628a\u56b4\u8b39\u7684\u7b54 \u5716 5. \u7dad\u57fa\u767e\u79d1\u67e5\u8a62\u64f4\u5c55\u6aa2\uf96a\u7cfb\u7d71\uf9ca\u7a0b\u5716 \u5b50\u65b7\u8a5e\u9019\u500b\u524d\u8655\uf9e4\u7684\u6b65\u9a5f\u662f\u76f8\u7576\u91cd\u8981\u7684\uff0c\u5728\u4e2d\u6587\u65b7\u8a5e\u7684\u90e8\u4efd\uff0c\u6211\u5011\u4e3b\u8981\u4f7f\u7528\u7684\u662f\u4e2d\u7814\u9662 CKIP \u5c0f \u7d44 \u958b \u767c \u7684 \u65b7 \u8a5e \u5de5 \u5177 \uff0c \u5176 \u65b7 \u8a5e \u7684 \u5e73 \u5747 \u6e96 \u78ba \ufa01 \u80fd \u5920 \u9054 \u5230 95% (http://ckipsvr.iis.sinica.edu.tw/)\uff0c\u53e6\u5916\u5728\u8655\uf9e4\u70ba\u4e2d\u6587\u7dad\u57fa\u767e\u79d1\u4e2d\u6587\u65b7\u8a5e\u6642\uff0c\u6211\u5011\u907f\u514d\u5c07 \u7dad\u57fa\u767e\u79d1\u7684\u689d\u76ee\u540d\u7a31\u65b7\u958b\uff0c\u4ee5\u63d0\u5347\u6aa2\uf96a\u7cfb\u7d71\u4ee5\u53ca\u67e5\u8a62\u64f4\u5c55\u7684\u6548\u80fd\u3002 1 1 1 j r T i j j i Doc (i) MAP T r = = = \u2211 \u2211 (10) T \u70ba\u7e3d\u5171\u67e5\u8a62\u4e3b\u984c\uf969\uff0cr \u8868\u793a\u5728\u6aa2\uf96a\u6587\u4ef6\u4e2d\u76f8\u95dc\u6587\u4ef6\u7684\uf969\uf97e\uff0cDoc(i)\u8868\u793a\u7b2c i \u7bc7\u76f8\u95dc\u6587\u4ef6 \u88ab\u6aa2\uf96a\u51fa\uf92d\u6642\uff0c\u6aa2\uf96a\u6587\u4ef6\u7684\uf969\uf97e\u3002 Google Wikigazer Okapi Wikipedia \u6216\u662f\u5728\u5bec\u9b06\u3001\u56b4\u8b39\u7684\u8a55\u4f30\u4e0b\uff0c\u9069\ufa01\u7684\u4f7f\u7528 OkapiQE \u8207 WikiQE out+in \u7684\u7d50\u5408\uff0c\u80fd\u5920\u5e6b\u52a9\u6311 Altavista Relax-MAP 0.289 0.287 0.259 0.198 5.5.3 \u5be6\u9a572-2\u7d50\u679c \u9078\u51fa\uf901\u76f8\u95dc\u7684\u67e5\u8a62\u64f4\u5c55\u5b57\u8a5e\u3002\u5728 C-run \u4e2d\u6700\u4f73\u67e5\u8a62\u64f4\u5c55\u5b57\u8a5e\u7684\u6bd4\u91cd\u662f\uff0c80%\uf92d\u81ea\u65bc 0.189 WikiQE out+in \uff0c20%\uf92d\u81ea\u65bc OkapiQE\u3002\u800c\u5728 E-run \u4e2d\u6700\u4f73\u67e5\u8a62\u64f4\u5c55\u5b57\u8a5e\u7684\u6bd4\u91cd\u662f\uff0c60%\uf92d\u81ea \u886810. C-run : OkapiQE\u3001WikiQE out \u3001WikiQE in \u4e4b\u67e5\u8a62\u64f4\u5c55\u6bd4\u8f03 \u88688. E-run\uff1a\u4f7f\u7528\u56b4\u8b39\u8a55\u4f30\u5404\u641c\u5c0b\u5f15\u64ce\u4ee5\u53caOkapi\u4e4bMAP \u80fd\u660e\u986f\u7684\u4f4e\u65bc E-run\uff0c\u9019\u4ee3\u8868\u5728\u73fe\u5be6\u751f\u6d3b\u4e2d\uff0c\u5728\u6211\u5011\u5e38\u4f7f\u7528\u7684\u95dc\u9375\u5b57\u641c\u5c0b\u5f15\u64ce\uff0c\u5982\u679c\u4f7f\u7528 \uf9ba\uf944\u7d71\u67e5\u8a62\uff0c\u5176\u6548\u80fd\u662f\uf967\u592a\u80fd\u6eff\u8db3\u4f7f\u7528\u8005\u7684\u9700\u6c42\uff0c\u5373\u4f7f\u662f\u8457\u540d\u7684\u641c\u5c0b\u5f15\u64ce Google\uff0c\u5176 C-run \u7684\u6aa2\uf96a\u6548\u80fd\u4ea6\uf967\u751a\uf9e4\u60f3\u3002 (2)\u5728 C-run \u4e2d\uff0c\u6211\u5011\u767c\u73fe\u57fa\u65bc\u865b\u64ec\u95dc\uf997\u56de\u994b\u7684\u67e5\u8a62\u64f4\u5c55\u6aa2\uf96a\u7cfb\u7d71 Okapi BM25 \u7684\u6aa2 \uf96a\u6548\u80fd\u662f\u6700\u597d\u7684(\u9ad8\u65bc Google)\uff0c\u9019\u4ee3\u8868\u5728\u4f7f\u7528\u8005\u4f7f\u7528\uf944\u7d71\u67e5\u8a62\u6642\uff0c\u9019\u4e9b\u76f8\u95dc\u4f46\u537b\u6a21\u7cca\u7684 \u95dc\u9375\u5b57\uff0c\u53ef\u4ee5\u900f\u904e\u865b\u64ec\u95dc\uf997\u56de\u994b\u7684\u6a5f\u5236\uff0c\u7531\u5176\u4e2d\u6311\u9078\u51fa\u6b63\u78ba\u7684\u5b57\u8a5e\uff0c\u5e6b\u52a9\u4f7f\u7528\u8005\u627e\u5230\uf901 \u591a\u76f8\u95dc\u7684\u6587\u4ef6\u3002 (3)\u53e6\u5916\u5728\u5bec\u9b06\u8207\u56b4\u8b39\u7684\u7d50\u679c\u4e2d\uff0c\u6703\u767c\u73fe\u6709\u5e7e\u500b\u641c\u5c0b\u5f15\u64ce\u7684\u56b4\u8b39\u6703\u9ad8\u65bc\u5bec\u9b06\u7684 MAP\uff0c \u7d93\u7531\u6211\u5011\u5206\u6790\u4e4b\u5f8c\u767c\u73fe\uff0c\u9019\u662f\u56e0\u70ba\u56b4\u8b39\u7684\u76f8\u95dc\u6587\u4ef6\uf969\uf97e\u4f4e\u65bc\u5bec\u9b06\u76f8\u95dc\u6587\u4ef6\uf969\uf97e\u8a31\u591a\uff0c\u5728 \u5716 6. C-run\uff1a\uf967\u540c\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u6bd4\u91cd\u8207\uf967\u540c\u64f4\u5c55\u5b57\u8a5e\uf969\u4e4b\u5bec\u9b06 MAP \u5716 8. E-run\uff1a\uf967\u540c\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u6bd4\u91cd\u8207\uf967\u540c\u64f4\u5c55\u5b57\u8a5e\uf969\u4e4b\u5bec\u9b06 MAP \u65bc WikiQE out+in \uff0c40%\uf92d\u81ea\u65bc OkapiQE\u3002 \u5175\u6cd5\u3001\u8b00\uf976\"\u7b49\uf944\u7d71\u67e5\u8a62\uff0c\u53ef\u4ee5\u53d6\u5f97\u7684\u5b57\u8a5e\u53ef\u7531\u5404\u500b\uf91d\u4f4d\u4f5c\u8a73\u7d30\u6aa2\u8996\u3002\u7531\u65bc\u6211\u5011\u6240\u4f7f\u7528\u7684 Okapi BM25 \u7684\u6f14\u7b97\u6cd5\uff0c\u56e0\u6709 PRF \u7684\u67e5\u8a62\u64f4\u5c55\uff0c\u6240\u4ee5\u5176\u6f14\u7b97\u6cd5\u5bb9\u8a31\u6709\u91cd\u8907\u7684\u5b57\u8a5e\u51fa\u73fe\uff0c \u800c\u6211\u5011\u7684\u67e5\u8a62\u64f4\u5c55\u5b57\u8a5e\uf92d\u6e90\u7e3d\u5171\u6709\u4e09\u7a2e:PRF\u3001\u7dad\u57fa\u767e\u79d1\u7684 Outward Link \u8207 Inward Link\uff0c \u6240\u4ee5\u540c\u4e00\u500b\u5b57\u8a5e\u5176\u5bb9\u8a31\u51fa\u73fe\u6700\u591a\u4e09\u6b21\uff0c\u7531\u8868\u4e2d\u6211\u5011\u53ef\u4ee5\u770b\u5230\u67e5\u8a62\u64f4\u5c55\u7684\u6548\u679c\uff0c\u7684\u78ba\u662f\u53ef \u4ee5\u6709\u6548\u7684\u627e\u51fa\u8207\uf944\u7d71\u95dc\u9375\u5b57\u9ad8\ufa01\u76f8\u95dc\u7684\u5b57\u8a5e\u3002 \u88689. \u67e5\u8a62\u4e3b\u984c009\uff1bC-run\uff1bOkapiQE\u3001WikiQE out+in \u67e5\u8a62\u64f4\u5c55\u5b57\u8a5e OkapiQE:WikiQE out+in Topic 100:0 30:70 0:100 C-run \u5716 4 0.500 Kappa 5.3 \u8a55\u4f30\u65b9\u6cd5 \u5728\u672c\u7814\u7a76\u4e2d\u4e3b\u8981\u4ee5 MAP(Mean Average Precision) \u8a55\u5206\u516c\u5f0f\uff0c\u8a55\u4f30\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u4ee5\u53ca\u6211\u5011 \u6240\u63d0\u51fa\u7684\u65b0\u7684 Okapi BM25 \u6aa2\uf96a\u7cfb\u7d71\u7684\u6aa2\uf96a\u6548\u80fd \u3002\u7dda\u4e0a\u641c\u5c0b\u5f15\u64ce\u5305\u542b: Google\u3001Wikipedia\u3001 (1)\u7121\uf941\u662f\u4f7f\u7528\u5bec\u9b06\u6216\u56b4\u8b39\u8a55\u4f30\u9019\u4e9b\u641c\u5c0b\u5f15\u64ce\u6216 Okapi\uff0c\u90fd\u53ef\u4ee5\u767c\u73fe C-run \u7684\u6aa2\uf96a\u6548 \u67e5\u8a62\u4e3b\u984c\u5176\u7cbe\u78ba\u95dc\u9375\u5b57\u662f\"\u5b6b\u5b50\u5175\u6cd5\u3001\u5b6b\u6b66\u5175\u6cd5\u3001\u5b6b\u5b50\u3001\u5b6b\u6b66\"\u7b49\u5b57\u8a5e\uff0c\u800c\u4f7f\u7528\"\u98a8\uf9f4\u706b\u5c71\u3001 Altavista\u3001Wikigazer\u3002MAP \u516c\u5f0f\u5982\u4e0b: Google Wikigazer* Okapi Altavista Wikipedia Rigid-MAP 0.326 0.303 0.224 0.224 (2)\u5728\uf967\u540c\u67e5\u8a62\u64f4\u5c55\u5b57\u8a5e\uf969\u7684\u5206\u6790\u4e0a\uff0c\u5728\u6709\u4f7f\u7528 WikiQE out+in \u67e5\u8a62\u64f4\u5c55\u6642\uff0c\u5728\u4f7f\u7528\u8f03 Only OkapiQE Only WikiQE out Only WikiQE in Best Worst 0.190 \u5176\u4e2d*\u4ee3\u8868\u6b64\u9805\uf969\u503c\u8207\u4e0b\u4e00\u9805(\u53f3\u5074)\uf969\u503c\uff0c\u7d93\u7531 T-test \u7d71\u8a08\u6aa2\u5b9a\uff0c\u5176 P \u503c\u5c0f\u65bc 0.05\uff0c\u5247\u4ee3 \u8868\u6709\u986f\u8457\u7684\u5dee\uf962\u3002\u800c\u7531\u8868 5~\u8868 8 \u6211\u5011\u53ef\u4ee5\u89c0\u5bdf\u5230\u4ee5\u4e0b\u5e7e\u500b\u91cd\u9ede\uff1a \u591a\u7684\u67e5\u8a62\u64f4\u5c55\u5b57\u8a5e\u4e0a\u6703\u5f97\u5230\u6bd4\u8f03\u597d\u7684 MAP\uff0c\u800c\u55ae\u7d14\u4f7f\u7528 OkapiQE \u67e5\u8a62\u64f4\u5c55\u6642\uff0c\u5c0d\u65bc\u4f7f Relax Rigid Relax Rigid Relax Rigid Relax Rigid Relax Rigid \u7528\uf967\u540c\u5b57\u8a5e\uf969\u7684\u5f71\u97ff\u4e26\uf967\u5927\u3002 (3)\u8868 9 \u70ba Topic \u7de8\u865f 009\uff0cC-run \u6aa2\uf96a\uff0c\u800c\u5404\u7a2e\uf967\u540c\u67e5\u8a62\u64f4\u5c55\u5b57\u8a5e\u7684\uf9b5\u5b50\u3002\u9996\u5148\uff0c\u6b64 0.212 50 0.184 0.185 0.191 0.197 0.158 0.167 (2:8:0)</td></tr><tr><td/><td>\u5716 4. \u76f8\u95dc\u5224\u65b7\u7684 Kappa \u7d71\u8a08\u5206\u6790</td></tr><tr><td/><td>\u5716 3. \u6587\u4ef6\u96c6\u6536\u96c6\uf9ca\u7a0b</td></tr></table>", | |
| "num": null | |
| }, | |
| "TABREF4": { | |
| "html": null, | |
| "type_str": "table", | |
| "text": "\u5728\u8868\u5167*\u4ee3\u8868\uff0c\u6b64\uf969\u503c\u8207\u53ea\u4f7f\u7528 OkapiQE \u7684 Relax \u6216 Rigid\uff0c\u5176\u7d93\u7531 T-test \u7d71\u8a08\u6aa2\u5b9a\uff0c\u5176 P \u503c\u5c0f\u65bc 0.05\uff0c\u4ea6\u5373\u6709\u986f\u8457\u7684\u5dee\uf962\u3002\u7531\u8868 10\u3001\u8868 11 \u7684\u5be6\u9a57\u7d50\u679c\u4e2d\uff0c\u6211\u5011\u6b78\u7d0d\u4ee5\u4e0b\u5e7e\u500b\u91cd \u9ede\uff1a (1)\u5728 C-run \u6216 E-run \u7684\u7d50\u679c\u986f\u793a\uff0c\u53ea\u4f7f\u7528 WikiQE out \u7684\u6548\u679c\u8207\u53ea\u7d93\u7531\u865b\u64ec\u95dc\uf997\u56de\u994b OkapiQE \u7684\u6548\u679c\u662f\u5f88\u76f8\u8fd1\u7684\uff0cWikiQE in \u7684\u6548\u679c\u6703\u6bd4\u8f03\u5dee\uff0c\u9019\u4ee3\u8868 WikiQE out \u6240\u627e\u5230\u7684\u5b57 \u8a5e\u662f\u6709\u5f88\u9ad8\ufa01\u95dc\uf99a\u7684\u5b57\u8a5e\uff0c\u800c WikiQE in \u7684\u8f14\u52a9\u6548\u679c\u6bd4\u8f03\u6c92\u6709 WikiQE out \u597d\u3002\u5728\u93c8\u7d50\u7d50\u69cb \u4e2d\uff0c\u93c8\u51fa\u93c8\u7d50\u7684\u93c8\u7d50\u6587\u5b57\u901a\u5e38\u662f\u8207\u6b64\u7db2\u9801\u975e\u5e38\u76f8\u95dc\u7684\u5b57\u8a5e\uff0c\u800c\u93c8\u5165\u93c8\u7d50\u5c0d\u6b64\u7db2\u9801\uf92d\uf96f\uff0c \u5176\u76f8\u95dc\u6027\u4e26\uf967\u4e00\u5b9a\u5f88\u9ad8\uff0c\u6240\u4ee5\u4f7f\u7528\u5176\u93c8\u7d50\u6587\u5b57\u67e5\u8a62\u64f4\u5c55\u7684\u6548\u80fd\u4e26\uf967\u5982\u4f7f\u7528\u93c8\u51fa\u93c8\u7d50\u7684\u93c8 \u7d50\u6587\u5b57\u4e4b\u6548\u80fd\u597d\u3002 (2)\u5728 Worst \u7684\uf91d\u4f4d\u4e2d\uff0c\u53ef\u4ee5\u770b\u5230\u6700\u5dee\u7684\u4e09\u7a2e\u6bd4\u91cd\uff0c\u4ee5 OkapiQE \u8207 WikiQE in \u5360\u7684\u6bd4 \uf9b5\u6700\u9ad8\uff0c\u9019\u4ee3\u8868\u6b64\uf978\u7a2e\u64f4\u5c55\u65b9\u5f0f\u7684\u6548\u679c\u662f\u5f88\u63a5\u8fd1\u7684\u3002\u5728 C-run \u4e2d\uff0cBest \u7684\uf91d\u4f4d\u4e2d\uff0c\u660e\u986f \u7684\u4f7f\u7528 WikiQE out \u6bd4\u91cd\u662f\u504f\u9ad8\u7684\uff0c\u9019\u4ee3\u8868\u5728\uf944\u7d71\u67e5\u8a62\u6aa2\uf96a\u4e2d\uff0c\u900f\u904e\u7dad\u57fa\u767e\u79d1\u5167\u5bb9\u4e2d\u93c8\u51fa \u93c8\u7d50\u7684\u93c8\u7d50\u6587\u5b57\uff0c\u53ef\u4ee5\u5e6b\u52a9\u6211\u5011\u7531\u6a21\u7cca\u3001\uf944\u7d71\u7684\u5b57\u8a5e\uf92d\u627e\u5230\u7cbe\u78ba\u7684\u5b57\u8a5e\uff0c\u4ee5\u63d0\u5347\u6aa2\uf96a\u6548 \u679c\u3002(3)\u7d93\u7531\u4f7f\u7528\uf967\u540c\u67e5\u8a62\u64f4\u5c55\u5b57\u8a5e\uf969\uf97e\u7684\u6bd4\u8f03\u4e2d\uff0c\u53ea\u4f7f\u7528 OkapiQE \u7684\u65b9\u5f0f\u4e26\u6c92\u6709\u5c0d\u6548\u80fd \u6709\u592a\u5927\u7684\u5f71\u97ff\uff0c\u800c\u53ea\u4f7f\u7528 WikiQE out \u6216 WikiQE in \u7684\u65b9\u5f0f\u6700\u4f73\u7684\u64f4\u5c55\u5b57\u8a5e\uf969\u7d04\u662f 30~50 \u500b \u64f4\u5c55\u5b57\u8a5e\u3002\u53e6\u5916\uff0c\u6211\u5011\u53ef\u4ee5\u770b\u5230\u5728\u4f7f\u7528 50 \u500b\u5b57\u8a5e\u64f4\u5c55\uff0cE-run \u4f7f\u7528 40%\u7684 OkapiQE\u3001 40%WikiQE out \u8207 20%\u7684 WikiQE in \u6548\u679c\u6703\u6700\u597d\uff0c\u5bec\u9b06\u7684 MAP \u6709 0.300\uff0c\u5df2\u7d93\u6709 Google \u7684 \u6c34\u5e73(\ufa0a\u8868 7)\u3002", | |
| "content": "<table><tr><td>6. \u7d50\uf941</td><td/></tr><tr><td colspan=\"2\">\u5728\u672c\u7bc7\uf941\u6587\u4e2d\uff0c\u6211\u5011\u63a2\u8a0e\u5728\u771f\u5be6\u4e16\u754c\u7684\u4f7f\u7528\u8005\uff0c\u4f7f\u7528\uf944\u7d71\u67e5\u8a62\u63cf\u8ff0\u5176\u8cc7\u8a0a\u9700\u6c42\u7684\u60c5\u5f62\u3002</td></tr><tr><td colspan=\"2\">\u672c\u7814\u7a76\u4f9d\u64da\u5efa\u7f6e\u6e2c\u8a66\u96c6\u7684\u6a19\u6e96\uf9ca\u7a0b\uff0c\u5efa\u69cb\uf9ba\u4e00\u5957\u57fa\u65bc\uf944\u7d71\u67e5\u8a62\u7684\u8cc7\u8a0a\u6aa2\uf96a\u6e2c\u8a66\u96c6\u3002\u4e26\u4e14</td></tr><tr><td colspan=\"2\">\u80fd\u5920\u4f7f\u7528\u5728\u8a55\u4f30\u771f\u5be6\u4e16\u754c\u4e2d\u7dda\u4e0a\u7684\u641c\u5c0b\u5f15\u64ce\uff0c\u5982 Google\u3001Wikipedia\u3001Altavista\u3001Wikigazer</td></tr><tr><td>\u7b49\u3002</td><td/></tr><tr><td colspan=\"2\">\u7531\u5be6\u9a57\u7d50\u679c\u8b49\u660e\uff0c\u76ee\u524d\u7dda\u4e0a\u7684\u641c\u5c0b\u5f15\u64ce\u4e26\uf967\u80fd\u6eff\u8db3\u4f7f\u7528\u8005\u4f7f\u7528\uf944\u7d71\u67e5\u8a62\uff0c\u96d6\u7136</td></tr><tr><td colspan=\"2\">Google \u4f7f\u7528\u7cbe\u78ba\u67e5\u8a62\u6240\u6aa2\uf96a\u7684\u6548\u80fd\u7684\u78ba\u5f88\u597d\uff0c\u4f46\u662f\u5728\uf944\u7d71\u67e5\u8a62\u4e0a\u7684\u8868\u73fe\u4e26\uf967\u662f\u5f88\u597d\u3002\u53e6</td></tr><tr><td colspan=\"2\">\u5916\u6211\u5011\u767c\u73fe\u57fa\u65bc\u865b\u64ec\u95dc\uf997\u56de\u994b\u7684 Okapi BM25 \u6f14\u7b97\u6cd5\u5728\uf944\u7d71\u67e5\u8a62\u7684\u6548\u679c\u6bd4 Google \u9084\u597d\uff0c</td></tr><tr><td colspan=\"2\">\u9019\u8b49\u660e\u57fa\u65bc PRF \u7684\u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5\u80fd\u5920\u6709\u6548\u7684\u5e6b\u52a9\u4f7f\u7528\u8005\u5728\u4f7f\u7528\uf944\u7d71\u67e5\u8a62\u4e0b\u7684\u6aa2\uf96a\u6548\u80fd\u3002</td></tr><tr><td colspan=\"2\">\u5728\u672c\u6587\u7814\u7a76\u4e2d\uff0c\u6211\u5011\u7814\u7a76\uf9ba\u7dad\u57fa\u767e\u79d1\u93c8\u7d50\u7d50\u69cb\u7684\u8cc7\u8a0a\uff0c\u63d0\u51fa\uf9ba\u7dad\u57fa\u767e\u79d1\u67e5\u8a62\u64f4\u5c55\u65b9</td></tr><tr><td colspan=\"2\">\u6cd5\uff0c\uf9dd\u7528\u7dad\u57fa\u767e\u79d1\u9801\u9762\u4e2d\u93c8\u51fa\u93c8\u7d50\u8207\u93c8\u5165\u93c8\u7d50\u7684\u93c8\u7d50\u6587\u5b57\u4f5c\u70ba\u67e5\u8a62\u64f4\u5c55\u7684\u5019\u9078\u5b57\u8a5e\uff0c\u4e26</td></tr><tr><td colspan=\"2\">\u8207 PRF \u7684\u96c6\u5408\u7d50\u5408\uff0c\u63d0\u5347\u6aa2\uf96a\u7684\u6548\u80fd\u3002\u7531\u5be6\u9a57\u7d50\u679c\u8b49\u660e\uff0c\u5728\u4f7f\u7528\uf944\u7d71\u67e5\u8a62\u7684\u6aa2\uf96a\u4e2d\uff0c\u900f</td></tr><tr><td colspan=\"2\">\u904e\u7dad\u57fa\u767e\u79d1\u93c8\u7d50\u8cc7\u8a0a\u7684\u93c8\u7d50\u6587\u5b57\uff0c\u53ef\u4ee5\u6709\u6548\u63d0\u5347\u55ae\u7d14\u57fa\u65bc PRF \u67e5\u8a62\u64f4\u5c55\u65b9\u6cd5(Okapi)\u7684\u6aa2</td></tr><tr><td colspan=\"2\">\uf96a\u6548\u80fd\uff1b\u800c\u5728\u4f7f\u7528\u7cbe\u78ba\u67e5\u8a62\u7684\u6aa2\uf96a\u4e2d\uff0c\u6b64\u65b9\u6cd5\u4e5f\u80fd\u63d0\u5347\u6aa2\uf96a\u7684\u6e96\u78ba\ufa01\uff0c\u751a\u81f3\u53ef\u4ee5\u9054\u5230</td></tr><tr><td>Google \u7684\u6aa2\uf96a\u6c34\u5e73\u3002</td><td>0.203 (1:0:9)</td></tr></table>", | |
| "num": null | |
| } | |
| } | |
| } | |
| } |