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[1]\uff1b\u5c0d\u65bc\u53ef\u66ff\u63db\u6027\u662f\u5426\u70ba\u540c \u7fa9\u8a5e\u7684\u5fc5\u8981\u689d\u4ef6\uff0c\u5b78\u8005\u5011\u770b\u6cd5\u4e0d\u76e1\u76f8\u540c [2][3][4]\u3002\u76f8\u8f03\u4e4b\u4e0b\uff0c\u63a1\u897f\u65b9\u8a9e\u8a00\u5b78\u89c0\u9ede\u8005\u591a\u8a8d \u70ba\u540c\u7fa9\u8a5e\u5c11\u4e4b\u53c8\u5c11\uff0c\u6545\u4ee5\u8fd1\u7fa9\u8a5e\u6307\u7a31\u8a9e\u610f\u76f8\u4f3c\u7684\u8a5e\u5f59\u7fa4\u7d44\u7fa4\uff1b\u4f8b\u5982\uff0cPinker [5] \u8a8d\u70ba\u540c \u5f62\u7570\u7fa9\u8a5e\u5f88\u591a\uff0c\u4f46\u540c\u7fa9\u8a5e\u5f88\u5c11\uff0c\u4e8b\u5be6\u4e0a\u6240\u6709\u88ab\u8a8d\u5b9a\u662f\u540c\u7fa9\u8a5e\u7684\u8a5e\u5f59\u8a9e\u610f\u90fd\u4ecd\u6709\u5dee\u7570\uff1b \u6216\u908a\u7de3\u8a9e\u610f\u5177\u7d30\u5fae\u5dee\u7570\u7684\u8a5e\u5f59\u7fa4\u7d44\uff0c\u4e26\u4ee5\u8fd1\u7fa9\u8a5e\u4f5c\u70ba\u672c\u6587\u8a0e\u8ad6\u7bc4\u570d\u3002 \u6839\u64da\u5468\u8350\u4e4b\u7814\u7a76\u7d50\u679c\u986f\u793a 1 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\u4ee5\u4e0b\u7814\u7a76\u7d50\u679c\u5206\u8a13\u7df4\u8cc7\u6599\u53ca\u898f\u5247\u5efa\u7acb\u3001\u6e2c\u8a66\u8cc7\u6599\u53ca\u9a57\u8b49\u7d50\u679c\u5169\u5927\u90e8\u5206\u4f86\u8a0e\u8ad6\u3002 \u90e8 \u7684\u8fd1\u7fa9\u8a5e\uff0c\u50c5\u672a\u5075\u6e2c\u5230\u300a\u73fe\u4ee3\u6f22\u8a9e\u540c\u7fa9\u8a5e\u5178\u300b\u6240\u5217\u7684\u300c\u559c\u6b61\u300d \u3002 \u300c\u723d\u6717\u300d\u3001\u300c\u50b3\u795e\u300d\u3001\u300c\u6709\u52c1\u300d\u3001\u300c\u795e\u6c23\u300d\u3001\u300c\u65fa\u76db\u300d \u3001 \u300c\u9bae\u660e\u300d\u3001\u300c\u660e\u6717\u300d\u3001\u300c\u6d3b\u8e8d\u300d\uff0c\u300c\u6d3b\u8e8d\u300d\u6210\u70ba 1. \u8a5e\u6027\u8a0a\u606f\uff1a\u4ee5\u9054\u5230\u89e3\u6b67\u53ca\u589e\u52a0\u8a5e\u5f59\u9451\u5225\u5ea6\uff1b \u7b2c 11 \u540d\uff1b\u7b2c\u56db\u6b65\u9a5f\uff0c\u8003\u616e\u8a5e\u7d20\u6578\u76ee\uff0c \u300c\u6d3b\u8e8d\u300d\u4ecd\u70ba\u7b2c 11 \u540d\uff1b\u7b2c\u4e94\u6b65\u9a5f\uff0c\u5229\u7528\u96d9\u8a9e\u5c0d\u8b6f \u70ba\u4e86\u627e\u51fa\u66f4\u591a\u7684\u8fd1\u7fa9\u8a5e\uff0c\u4ee5\u300c\u9ad8\u8208\u300d\u524d 9 \u540d\u8fd1\u7fa9\u8a5e\u7684\u82f1\u6587\u7ffb\u8b6f\u70ba\u672c\uff0c\u518d\u5229\u7528\u96d9\u8a9e\u8a9e\u6599\u5eab 2. \u8a5e\u6027\u7570\u540c\uff1a\u5254\u9664\u8a5e\u6027\u4e0d\u540c(\u540d\u8a5e Na, Nb, Nc, Nd \u5404\u70ba\u4e0d\u540c\u5206\u985e\uff0c\u52d5\u8a5e V \u548c A \u8996\u70ba\u4e00 \u627e\u5230\u66f4\u591a\u8fd1\u7fa9\u8a5e\u5019\u9078\u8a5e\u689d\uff0c\u5305\u62ec\uff1a \u300c\u7a4d\u6975\u300d \u3001 \u300c\u4e3b\u52d5\u300d\u3001\u300c\u8e34\u8e8d\u300d\u3001\u300c\u9748\u6d3b\u300d\u3001\u300c\u6d3b\u7d61\u300d \u3001 \u300c\u71e6\u7136\u300d \u3001 \u7db2(HowNet) [13] \u7b49\u539f\u5df2\u5efa\u7acb\u4e4b\u96fb\u5b50\u8fad\u5178\u6216\u8a9e\u610f\u7db2\u8def\u7b49\u8cc7\u6e90\uff0c\u5efa\u69cb\u8a5e\u5f59\u8207\u8a5e\u5f59\u7684\u95dc\u4fc2\uff0c \u9032\u800c\u8a08\u7b97\u51fa\u8a5e\u5f59\u4e4b\u9593\u7684\u8a9e\u610f\u76f8\u4f3c\u5ea6\u3002\u63a1\u7528\u8a9e\u6599\u5eab\u8a08\u7b97\u8a5e\u5f59\u76f8\u4f3c\u5ea6\u8005\uff0c\u5c07\u8a9e\u610f\u7279\u5fb5\u4ee5\u5728\u8a9e \u610f\u7a7a\u9593\u5411\u91cf\u7684\u65b9\u5f0f\u8868\u9054 [14]\uff0c\u8a5e\u5f59\u7684\u76f8\u4f3c\u5373\u662f\u5176\u5728\u5411\u91cf\u7a7a\u9593\u4f4d\u7f6e\u7684\u76f8\u4f3c\uff0c\u8a5e\u5f59\u76f8\u4f3c\u5ea6 \u901a\u5e38\u4ee5\u5169\u5169\u8a5e\u5f59\u4e4b\u5411\u91cf\u593e\u89d2 consine \u503c\u4f86\u8868\u9054 [15][16]\uff0c\u4f8b\u5982\u61c9\u7528\u300c\u80cc\u666f\u5411\u91cf\u6a21\u578b\u300d (Context Vector Model) [17]\u3001 \u300c\u6f5b\u5728\u8a9e\u610f\u5206\u6790\u300d(Latent Semantic Analysis) [18][19]\u3001 Word2Vec [20][21]\u3002 1 \u4ee5\u4e0b\u6558\u8ff0\u8acb\u53c3\u7167 [1]\u3002 \u6587\u540c\u6642\u63a1\u7528\u300c\u83ef\u8a9e\u6587\u8a9e\u6599\u5eab\u300d\u548c\u300c\u4e2d\u592e\u7814\u7a76\u9662\u6f22\u8a9e\u5e73\u8861\u8a9e\u6599\u5eab 4.0 \u7248\u300d\u4ee5\u9054\u5230\u8a9e\u6599\u91cf\u5927 \u53ca\u6b63\u78ba\u6027\u9ad8\u4e4b\u96d9\u91cd\u512a\u9ede\u3002 4 2 \u76f8\u95dc\u8ad6\u8ff0\u8a73\u898b [13]\u3002 3 4 \u539f\u8a02\u4ee5\u300c\u83ef\u8a9e\u6587\u8a9e\u6599\u5eab\u300d\u70ba\u672c\uff0c\u4f46\u5728\u7814\u7a76\u904e\u7a0b\u767c\u73fe\u300c\u83ef\u8a9e\u6587\u8a9e\u6599\u5eab\u300d\u81ea\u52d5\u65b7\u8a5e\u53ca\u6a19\u8a18\u4e4b\u90e8\u5206\u7d50\u679c\u964d\u4f4e \u8a5e\u5f59\u6bd4\u5c0d\u4e4b\u6b63\u78ba\u7387\u3002\u4f8b\u5982\uff0c \u300c\u4e2d\u5fc3\u300d\u5728\u300c\u83ef\u8a9e\u6587\u8a9e\u6599\u5eab\u300d\u5168\u88ab\u6a19\u8a18\u70ba Nc(\u5730\u65b9\u8a5e) \uff0c\u7121 Na(\u666e\u901a\u540d\u8a5e) \uff1b \u7136\u800c\uff0c\u574a\u9593\u8fad\u5178\u5c07\u300c\u6838\u5fc3\u300d\u8207\u300c\u4e2d\u5fc3\u300d\u8996\u70ba\u8fd1\u7fa9\u8a5e\uff0c\u53ef\u77e5\u6b64\u300c\u4e2d\u5fc3\u300d\u6307\u300c\u4e8b\u7269\u7684\u4e3b\u9ad4\u300d\u4e4b\u610f(\u8a5e\u6027 Na)\uff0c \u800c\u975e\u300c\u6b63\u4e2d\u592e\u4f4d\u7f6e\u300d\u6216\u300c\u6a1e\u7d10\u5730\u4f4d\u4e4b\u5730\u9ede\u300d (\u8a5e\u6027 Nc) \u3002\u7531\u65bc\u300c\u4e2d\u5fc3\u300d\u50c5\u88ab\u6a19\u70ba Nc\uff0c\u5c0e\u81f4\u6a21\u7d44\u5de5\u5177\u7121\u6cd5 \u627e\u51fa\u9019\u4e9b\u82f1\u6587\u7ffb\u8b6f\u7684\u4e2d\u6587\u5c0d\u8b6f\u8a5e\u5f59\uff1b\u70ba\u4e86\u907f\u514d\u7d50\u679c\u904e\u65bc\u767c\u6563\uff0c\u518d\u53d6\u4e2d\u6587\u5c0d\u8b6f\u8a5e\u5f59\u4ea4\u96c6\u6578 \u985e) \uff0c\u4ee5\u9054\u5230\u8fd1\u7fa9\u8a5e\u7684\u90e8\u5206\u53ef\u66ff\u63db\u6027\uff1b \u300c\u5916\u5411\u300d\u3001\u300c\u958b\u6717\u300d\u3001\u300c\u8c6a\u723d\u300d \u3002\u672c\u6587\u627e\u5230\u300c\u6d3b\u6f51\u300d\u7684\u8fd1\u7fa9\u8a5e\u6709\uff1a \u300c\u751f\u52d5\u300d\u3001\u300c\u597d\u52d5\u300d \u3001 \u300c\u9bae\u6d3b\u300d \u3001 (\u4e00)\u8a13\u7df4\u8cc7\u6599\u53ca\u898f\u5247\u5efa\u7acb \u4ee5\u4e0b\u4ee5\u540c\u6642\u51fa\u73fe\u5728\u516d\u90e8\u8fad\u5178\u7684\u300c\u9ad8\u8208\u300d\u548c\u300c\u6109\u5feb\u300d\u4ee5\u53ca\u540c\u6642\u51fa\u73fe\u5728\u4e94\u90e8\u8fad\u5178\u7684\u300c\u6839\u672c\u300d \u548c\u300c\u57fa\u672c\u300d\u70ba\u4f8b\uff0c\u4f5c\u70ba\u672c\u6587\u5224\u5225\u53ca\u5efa\u7acb\u8fd1\u7fa9\u8a5e\u898f\u5247\u7684\u4f86\u6e90\u4e4b\u4e00\u3002 \u5224\u8b80\u300c\u6838\u5fc3\u300d (\u8a5e\u6027 Na)\u8207\u300c\u4e2d\u5fc3\u300d (\u8a5e\u6027 Na)\u7684\u8fd1\u4f3c\u503c\u3002\u56e0\u6b64\uff0c\u672c\u6587\u589e\u52a0\u5df2\u7d93\u4eba\u5de5\u6821\u6b63\u4e4b\u300c\u4e2d\u592e\u7814\u7a76 \u9662 \u6f22\u8a9e\u5e73\u8861\u8a9e\u6599\u5eab 4.0 \u7248\u300d \uff0c\u4f5c\u70ba\u8fd1\u7fa9\u8a5e\u6bd4\u5c0d\u4f86\u6e90\u4e4b\u4e00\u3002 \u5728 3200 \u540d\u4e4b\u5f8c\uff0c\u5169\u8005\u76f8\u4f3c\u503c\u50c5 0.14333088954344522\uff0c\u53ef\u898b\u8a5e\u6027\u8a0a\u606f\u78ba\u6709\u5176\u4f5c\u7528\u3002 \u8b49\u6642\u5747\u66ab\u672a\u5c07\u6b64\u90e8\u8fad\u5178\u7684\u8fd1\u7fa9\u8a5e\u7d0d\u5165\u8a55\u4f30\u3002\u985e\u4f3c\u60c5\u5f62\u4e5f\u51fa\u73fe\u5728\u5ee3\u7fa9\u77e5\u7db2\u7684\u540c\u7fa9\u8a5e/\u8fd1\u7fa9\u8a5e\u3002 12 \u589e\u52a0\u8a5e\u6027\u8a0a\u606f\u5f8c\uff0c\u52d5\u8a5e\u300c\u6839\u672c\u300d\u7684\u8fd1\u7fa9\u8a5e\u6392\u540d\u7b2c 25 \u540d\u70ba\u975e\u8b02\u5f62\u5bb9\u8a5e\u300c\u57fa\u672c\u300d \uff0c\u540d\u8a5e\u300c\u57fa\u672c\u300d\u5247\u6392\u540d\u843d \u300a\u540c\u7fa9\u8a5e\u8a5e\u6797\u300b\u672a\u8003\u616e\u8fd1\u7fa9\u8a5e\u7d44\u8a5e\u7d20\u6578\u76ee\uff0c\u4e14\u8a31\u591a\u8fd1\u7fa9\u8a5e\u7d44\u8a9e\u610f\u5df2\u504f\u96e2\u539f\u4e3b\u8a5e\u9805\u8a9e\u610f\uff0c\u6545\u672c\u6587\u5206\u6790\u53ca \u9a57 \u6027\u8cea\u503c\u300d \uff0c\u975e\u8b02\u5f62\u5bb9\u8a5e\u300c\u57fa\u672c\u300d\u5728\u300cSituationValue|\u72c0\u6cc1\u503c\u300d \u3002 \u4e26\u975e\u5b8c\u5168\u76f8\u540c\u800c\u6709\u6b64\u7d50\u679c\u3002\u57fa\u65bc\u540c\u6a23\u539f\u56e0\uff0c\u8a9e\u610f\u89d2\u8272\u8a5e\u7d44\u662f\u5426\u540c\u6a23\u70ba\u52d5\u8a5e\u7d44\u6216\u540d\u8a5e\u7d44\u4e5f\u7121\u52a9\u8fd1\u7fa9\u8a5e\u5224\u5225\u3002 10 11 \u540d\u8a5e\u300c\u6839\u672c\u300d\u5206\u985e\u5728\u300cthing|\u842c\u7269\u300d\uff0c\u300c\u57fa\u672c\u300d\u5728\u300cOther(object|\u7269\u9ad4)\u300d \uff1b\u52d5\u8a5e\u300c\u6839\u672c\u300d\u5728\u300cPropertyValue| 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| "text": "\u63d0\u5230\uff0c\u5b8c\u5168\u540c\u7fa9\u8a5e(perfect synonyms)\u61c9\u8a9e\u610f\u76f8\u540c\u4e14\u53ef\u5728\u4efb\u4f55\u8a9e\u5883\u4e2d\u4e92\u76f8\u66ff \u63db\uff0c\u56e0\u6b64\u5b8c\u5168\u540c\u7fa9\u8a5e\u7684\u6578\u91cf\u6975\u5c11\uff0c\u5927\u591a\u6578\u540c\u7fa9\u8a5e\u5176\u5be6\u662f\u8fd1\u7fa9\u8a5e\uff0c\u9019\u4e9b\u8fd1\u7fa9\u8a5e\u5171\u4eab\u67d0\u4e9b\u6838 The 2016 Conference on Computational Linguistics and Speech Processing ROCLING 2016, pp. 342-351 \uf0d3 The Association for Computational Linguistics and Chinese Language Processing \u5fc3(\u8a9e\u610f)\u76f8\u4f3c\uff0c\u800c\u908a\u7de3(\u8a9e\u610f)\u76f8\u7570\uff1bSaeed [8] \u8a8d\u70ba\u771f\u6b63\u7684\u540c\u7fa9\u8a5e\u6975\u5c11\u3002Chung \u8207 Ahrens [9] \u7d9c\u5408\u524d\u4eba\u7814\u7a76\u6307\u51fa\uff0c\u540c\u7fa9\u8a5e\u7684\u610f\u6db5(connotations)\u3001\u860a\u542b(implications)\u3001\u9078\u64c7 \u9650\u5236(selectional restrictions)\u53ca\u53e5\u6cd5\u8b8a\u7570(syntactic variations)\u7b49\u5404\u65b9\u9762\u5747\u53ef\u80fd\u6709\u6240\u5dee\u7570\u3002\u6982 \u300c\u83ef\u8a9e\u6587\u8a9e\u6599\u5eab\u300d (Corpus of Contemporary Taiwanese Mandarin\uff0c\u7c21\u7a31 COCT)\u70ba\u570b\u5bb6\u6559\u80b2\u7814\u7a76\u9662\u83ef\u8a9e \u6587 \u516b\u5e74\u8a08\u756b\u300c\u5efa\u7f6e\u61c9\u7528\u8a9e\u6599\u5eab\u53ca\u6a19\u6e96\u9ad4\u7cfb\u300d\u6240\u5efa\u7f6e\uff1b\u622a\u81f3\u76ee\u524d\u70ba\u6b62\uff0c\u5171\u6536\u9304\u66f8\u9762\u8a9e\u8a9e\u6599 1 \u5104 1,220 \u842c\u5b57\uff0c \u53e3\u8a9e\u8a9e\u6599 960 \u842c\u5b57\uff0c\u83ef\u82f1\u96d9\u8a9e\u8a9e\u6599 340 \u842c\u5b57\uff0c\u83ef\u8a9e\u4e2d\u4ecb\u8a9e 42 \u842c\u5b57\u3002 \u7248\u7dda\u4e0a\u67e5\u8a62\u7cfb\u7d71\u7db2\u5740\u70ba http://ehownet.iis.sinica.edu.tw/index.php\u3002 6 \u76f8\u95dc\u8ad6\u8ff0\u8acb\u53c3\u8003 [1] \u53ca [26]\u3002 7 \u672c\u6587\u8a5e\u6027\u6a19\u8a18\u53c3\u7167 \u300c\u4e2d\u592e\u7814\u7a76\u9662\u6f22\u8a9e\u5e73\u8861\u8a9e\u6599\u5eab\u300d \u8a5e\u6027\u6a19\u8a18 http://asbc.iis.sinica.edu.tw/images/98-04.pdf\u3002" | |
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