Benjamin Aw
Add updated pkl file v3
6fa4bc9
{
"paper_id": "O17-1015",
"header": {
"generated_with": "S2ORC 1.0.0",
"date_generated": "2023-01-19T07:59:34.710904Z"
},
"title": "Exploring Query Intent and Neural Network modeling Techniques for Spoken Document Retrieval",
"authors": [
{
"first": "Tien-Hong",
"middle": [],
"last": "\u7f85\u5929\u5b8f",
"suffix": "",
"affiliation": {},
"email": ""
},
{
"first": "Ying-Wen",
"middle": [],
"last": "Lo",
"suffix": "",
"affiliation": {},
"email": ""
},
{
"first": "\u9673\u67cf\u7433",
"middle": [],
"last": "Chen",
"suffix": "",
"affiliation": {},
"email": "[email protected]"
},
{
"first": "Chen",
"middle": [],
"last": "Berlin",
"suffix": "",
"affiliation": {},
"email": "[email protected]"
},
{
"first": "",
"middle": [],
"last": "\u570b\u7acb\u81fa\u7063\u5e2b\u7bc4\u5927\u5b78\u8cc7\u8a0a\u5de5\u7a0b\u5b78\u7cfb",
"suffix": "",
"affiliation": {},
"email": ""
},
{
"first": "Kuan-Yu",
"middle": [],
"last": "\u9673\u51a0\u5b87",
"suffix": "",
"affiliation": {},
"email": ""
},
{
"first": "",
"middle": [],
"last": "Chen",
"suffix": "",
"affiliation": {},
"email": ""
},
{
"first": "Hsin-Min",
"middle": [],
"last": "\u738b\u65b0\u6c11",
"suffix": "",
"affiliation": {},
"email": ""
},
{
"first": "\u4e2d\u592e\u7814\u7a76\u9662\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240",
"middle": [],
"last": "Wang",
"suffix": "",
"affiliation": {},
"email": ""
}
],
"year": "",
"venue": null,
"identifiers": {},
"abstract": "",
"pdf_parse": {
"paper_id": "O17-1015",
"_pdf_hash": "",
"abstract": [],
"body_text": [],
"back_matter": [],
"bib_entries": {
"BIBREF0": {
"ref_id": "b0",
"title": "Retrieval and browsing of spoken content",
"authors": [
{
"first": "C",
"middle": [],
"last": "Chelba",
"suffix": ""
},
{
"first": "T",
"middle": [
"J"
],
"last": "Hazen",
"suffix": ""
},
{
"first": "M",
"middle": [],
"last": "Saraclar",
"suffix": ""
}
],
"year": 2008,
"venue": "IEEE Signal Processing Magazine",
"volume": "25",
"issue": "3",
"pages": "39--49",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "C. Chelba, T. J. Hazen, and M. Saraclar, \"Retrieval and browsing of spoken content,\" IEEE Signal Processing Magazine, 25(3), pp. 39-49, 2008.",
"links": null
},
"BIBREF1": {
"ref_id": "b1",
"title": "Spoken document understanding and organization",
"authors": [
{
"first": "L",
"middle": [
"S"
],
"last": "Lee",
"suffix": ""
},
{
"first": "B",
"middle": [],
"last": "Chen",
"suffix": ""
}
],
"year": 2005,
"venue": "IEEE Signal Processing Magazine",
"volume": "22",
"issue": "5",
"pages": "42--60",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "L. S. Lee and B. Chen, \"Spoken document understanding and organization,\" IEEE Signal Processing Magazine, 22(5), pp. 42-60, 2005.",
"links": null
},
"BIBREF2": {
"ref_id": "b2",
"title": "Speech indexing using semantic context inference",
"authors": [
{
"first": "C",
"middle": [
"L"
],
"last": "Huang",
"suffix": ""
},
{
"first": "B",
"middle": [],
"last": "Ma",
"suffix": ""
},
{
"first": "H",
"middle": [],
"last": "Li",
"suffix": ""
},
{
"first": "C.-H",
"middle": [],
"last": "Wu",
"suffix": ""
}
],
"year": 2011,
"venue": "Proceedings of INTERSPEECH",
"volume": "",
"issue": "",
"pages": "717--720",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "C. L. Huang, B. Ma, H. Li, and C.-H. Wu, \"Speech indexing using semantic context inference,\" in Proceedings of INTERSPEECH, pp. 717-720, 2011.",
"links": null
},
"BIBREF3": {
"ref_id": "b3",
"title": "Spoken document retrieval with unsupervised query modeling techniques",
"authors": [
{
"first": "B",
"middle": [],
"last": "Chen",
"suffix": ""
},
{
"first": "K.-Y",
"middle": [],
"last": "Chen",
"suffix": ""
},
{
"first": "P.-N",
"middle": [],
"last": "Chen",
"suffix": ""
},
{
"first": "Y.-W",
"middle": [],
"last": "Chen",
"suffix": ""
}
],
"year": 2012,
"venue": "IEEE Transactions on Audio, Speech, and Language Processing",
"volume": "20",
"issue": "9",
"pages": "2602--2612",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "B. Chen, K.-Y. Chen, P.-N. Chen, and Y.-W. Chen, \"Spoken document retrieval with unsupervised query modeling techniques,\" IEEE Transactions on Audio, Speech, and Language Processing 20(9), pp. 2602-2612, 2012.",
"links": null
},
"BIBREF4": {
"ref_id": "b4",
"title": "A vector space model for automatic indexing",
"authors": [
{
"first": "G",
"middle": [],
"last": "Salton",
"suffix": ""
},
{
"first": "A",
"middle": [],
"last": "Wong",
"suffix": ""
},
{
"first": "C",
"middle": [
"S"
],
"last": "Yang",
"suffix": ""
}
],
"year": 1975,
"venue": "Communications of the ACM",
"volume": "18",
"issue": "11",
"pages": "613--620",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "G. Salton, A. Wong, and C. S. Yang, \"A vector space model for automatic indexing,\" Communications of the ACM, 18(11), pp. 613-620, 1975",
"links": null
},
"BIBREF5": {
"ref_id": "b5",
"title": "A language modeling approach to information retrieval",
"authors": [
{
"first": "J",
"middle": [
"M"
],
"last": "Ponte",
"suffix": ""
},
{
"first": "W",
"middle": [
"B"
],
"last": "Croft",
"suffix": ""
}
],
"year": 1998,
"venue": "Proceedings of SIGIR",
"volume": "",
"issue": "",
"pages": "275--281",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "J. M. Ponte and W. B. Croft, \"A language modeling approach to information retrieval,\" in Proceedings of SIGIR, pp. 275-281, 1998.",
"links": null
},
"BIBREF6": {
"ref_id": "b6",
"title": "A general language model for information retrieval",
"authors": [
{
"first": "F",
"middle": [],
"last": "Song",
"suffix": ""
},
{
"first": "W",
"middle": [
"B"
],
"last": "Croft",
"suffix": ""
}
],
"year": 1999,
"venue": "Proceedings of CIKM",
"volume": "",
"issue": "",
"pages": "316--321",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "F. Song and W. B. Croft, \"A general language model for information retrieval,\" in Proceedings of CIKM, pp. 316-321, 1999.",
"links": null
},
"BIBREF7": {
"ref_id": "b7",
"title": "Language modeling for information retrieval",
"authors": [],
"year": 2003,
"venue": "Kluwer International Series on Information Retrieval",
"volume": "13",
"issue": "",
"pages": "",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "W. B. Croft and J. Lafferty (eds.), \"Language modeling for information retrieval,\" Kluwer International Series on Information Retrieval, 13, Kluwer Academic Publishers, 2003.",
"links": null
},
"BIBREF8": {
"ref_id": "b8",
"title": "A deep relevance matching model for ad-hoc retrieval",
"authors": [
{
"first": "J.-F",
"middle": [],
"last": "Guo",
"suffix": ""
},
{
"first": "Y",
"middle": [],
"last": "Fan",
"suffix": ""
},
{
"first": "Q",
"middle": [],
"last": "Ai",
"suffix": ""
},
{
"first": "W",
"middle": [
"B"
],
"last": "Croft",
"suffix": ""
}
],
"year": 2016,
"venue": "Proceedings of CIKM",
"volume": "",
"issue": "",
"pages": "55--64",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "J.-F. Guo, Y. Fan, Q. Ai, and W. B. Croft, \"A deep relevance matching model for ad-hoc retrieval,\" in Proceedings of CIKM, pp. 55-64, 2016.",
"links": null
},
"BIBREF9": {
"ref_id": "b9",
"title": "Learning to match using local and distributed representations of text for web search",
"authors": [
{
"first": "B",
"middle": [],
"last": "Mitra",
"suffix": ""
},
{
"first": "F",
"middle": [],
"last": "Diaz",
"suffix": ""
},
{
"first": "N",
"middle": [],
"last": "Craswell",
"suffix": ""
}
],
"year": 2017,
"venue": "Proceedings of WWW",
"volume": "",
"issue": "",
"pages": "1291--1299",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "B. Mitra, F. Diaz, and N. Craswell, \"Learning to match using local and distributed representations of text for web search,\" in Proceedings of WWW, pp. 1291-1299, 2017.",
"links": null
},
"BIBREF10": {
"ref_id": "b10",
"title": "Query enrichment for web-query classification",
"authors": [
{
"first": "D",
"middle": [],
"last": "Shen",
"suffix": ""
},
{
"first": "R",
"middle": [],
"last": "Pan",
"suffix": ""
},
{
"first": "J",
"middle": [
"T"
],
"last": "Sun",
"suffix": ""
},
{
"first": "J",
"middle": [
"J"
],
"last": "Pan",
"suffix": ""
},
{
"first": "K",
"middle": [],
"last": "Wu",
"suffix": ""
},
{
"first": "J",
"middle": [],
"last": "Yin",
"suffix": ""
},
{
"first": "Q",
"middle": [],
"last": "Yang",
"suffix": ""
}
],
"year": 2006,
"venue": "ACM Transactions on Information Systems (TOIS)",
"volume": "24",
"issue": "3",
"pages": "320--352",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "Shen, D., Pan, R., Sun, J. T., Pan, J. J., Wu, K., Yin, J., & Yang, Q. (2006). Query enrichment for web-query classification. ACM Transactions on Information Systems (TOIS), 24(3), 320-352.",
"links": null
},
"BIBREF11": {
"ref_id": "b11",
"title": "Model-based feedback in the language modeling approach to information retrieval",
"authors": [
{
"first": "C",
"middle": [],
"last": "Zhai",
"suffix": ""
},
{
"first": "J",
"middle": [],
"last": "Lafferty",
"suffix": ""
}
],
"year": 2001,
"venue": "Proceedings of CIKM",
"volume": "",
"issue": "",
"pages": "403--410",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "C. Zhai and J. Lafferty, \"Model-based feedback in the language modeling approach to information retrieval,\" in Proceedings of CIKM, pp. 403-410, 2001.",
"links": null
}
},
"ref_entries": {
"TABREF0": {
"text": "The 2017 Conference on Computational Linguistics and Speech Processing ROCLING 2017, pp. 149-151 \uf0d3 The Association for Computational Linguistics and Chinese Language Processing",
"num": null,
"type_str": "table",
"html": null,
"content": "<table><tr><td>\u70ba\u5411\u91cf\u5f0f\u6a21\u578b[5]\u3001\u7d71\u8a08\u5f0f\u8a9e\u8a00\u6a21\u578b[6][7][8]\u3002\u8fd1\u5e74\u4f86\uff0c\u96a8\u8457\u985e\u795e\u7d93\u7db2\u8def\u7684\u7a81\u7834\uff0c\u9019\u985e\u7684</td></tr><tr><td>\u65b9\u6cd5\u4e5f\u88ab\u5927\u91cf\u61c9\u7528\u5728\u6aa2\u7d22\u7684\u4efb\u52d9\u4e0a[9][10]\u3002\u96d6\u7136\u9019\u5e7e\u5e74\u53d6\u5f97\u9577\u8db3\u7684\u9032\u6b65\uff0c\u4f46\u5982\u540c\u50b3\u7d71\u6587</td></tr><tr><td>\u5b57\u6587\u4ef6\u6aa2\u7d22\uff0c\u8a9e\u97f3\u6587\u4ef6\u6aa2\u7d22\u4e5f\u9762\u81e8\u8f38\u5165\u67e5\u8a62\u904e\u65bc\u7c21\u77ed\u4e0d\u80fd\u5b8c\u6574\u5730\u8868\u9054\u4f7f\u7528\u8005\u8cc7\u8a0a\u9700\u6c42\u7684</td></tr><tr><td>\u60c5\u6cc1\u3002\u56e0\u6b64\uff0c\u4e0d\u5c11\u7814\u7a76\u662f\u5229\u7528\u4f7f\u7528\u8005\u4e00\u6b21\u6aa2\u7d22\u5f8c\uff0c\u5c07\u9ede\u64ca\u7684\u6587\u4ef6\u8996\u70ba\u76f8\u95dc\u6587\u7ae0\u4e26\u505a\u70ba\u67e5</td></tr><tr><td>\u8a62\u610f\u5411(Query Intent)[11]\u7684\u4f9d\u64da\uff0c\u4e26\u5728\u4e0b\u4e00\u6b21\u63d0\u4f9b\u66f4\u70ba\u7cbe\u78ba\u7684\u6aa2\u7d22\u7d50\u679c\uff0c\u53ef\u8996\u70ba\u8207\u6e96\u76f8</td></tr><tr><td>\u95dc\u56de\u994b(Pseudo Relevance Feedback) [12]\u76f8\u4f3c\u7684\u6d41\u7a0b\uff0c\u4f46\u5fc5\u9808\u9032\u884c\u5169\u6b21\u6aa2\u7d22\u7684\u7a0b\u5e8f\u800c\u6703\u6709</td></tr><tr><td>\u8017\u6642\u7684\u554f\u984c\u3002</td></tr><tr><td>\u57fa\u65bc\u4e0a\u8ff0\u7684\u89c0\u5bdf\uff0c\u70ba\u4e86\u6709\u6548\u7684\u67e5\u8a62\u8868\u793a\u548c\u5373\u6642\u6027\uff0c\u6211\u5011\u767c\u60f3\u4e86\u4e00\u500b\u57fa\u65bc\u67e5\u8a62\u610f\u5411\u61c9</td></tr><tr><td>\u7528\u5728\u8a9e\u97f3\u6587\u4ef6\u6aa2\u7d22\u7684\u65b0\u7a4e\u65b9\u6cd5\uff0c\u9019\u6a23\u7684\u65b9\u6cd5\u6709\u5169\u500b\u90e8\u4efd\u7684\u8ca2\u737b\u3002\u7b2c\u4e00\u500b\u90e8\u5206\uff0c\u6839\u64da\u4e0d\u540c</td></tr><tr><td>\u7684\u67e5\u8a62\u610f\u5411\u81ea\u52d5\u5206\u8fa8\u67e5\u8a62\u7684\u7a2e\u985e\uff0c\u4e26\u4f7f\u7528\u76f8\u95dc\u6027\u611f\u77e5\u67e5\u8a62\u6a21\u578b(Neural Relevance-Aware</td></tr><tr><td>Query model, NRM)\u63a8\u8ad6\u51fa\u66f4\u6709\u5340\u5225\u529b(Discriminant)\u7684\u67e5\u8a62\u8868\u793a\uff0c\u8c50\u5bcc\u539f\u5148\u8a9e\u610f\u8868\u9054\u4e0d</td></tr><tr><td>\u8db3\u7684\u67e5\u8a62\u3002\u4e0d\u50c5\u5982\u6b64\uff0c\u76f8\u8f03\u65bc\u6e96\u76f8\u95dc\u56de\u994b\uff0c\u4e0d\u7528\u9032\u884c\u5169\u6b21\u6aa2\u7d22\uff0c\u56e0\u6b64\u4e5f\u9644\u5e36\u5373\u6642\u56de\u994b\u7684</td></tr><tr><td>\u597d\u8655\u3002\u7b2c\u4e8c\u500b\u8ca2\u737b\u662f\u5728 NRM \u67b6\u69cb\u4e0b\uff0c\u5206\u6790\u67e5\u8a62\u5206\u7fa4\u591a\u5be1\u5c0d\u65bc\u7cfb\u7d71\u6548\u80fd\u7684\u5f71\u97ff\uff0c\u6211\u5011\u8a8d</td></tr><tr><td>\u70ba\u4e0d\u540c\u4e3b\u984c\u7684\u67e5\u8a62\u61c9\u8a72\u5404\u81ea\u5206\u7fa4\u8a13\u7df4\uff0c\u5f37\u5316\u6a21\u578b\u7684\u9451\u5225\u80fd\u529b\u3002\u5be6\u9a57\u7d50\u679c\u986f\u793a\uff0c\u57fa\u65bc\u67e5\u8a62</td></tr><tr><td>\u6548\u679c\u4e0b\uff0c\u6211\u5011\u7684\u65b9\u6cd5\u53ef\u9032\u4e00\u6b65\u5730\u63d0\u5347\u8a13\u7df4\u7684\u6709\u6548\u6027\u3002</td></tr><tr><td>\u95dc\u9375\u8a5e\uff1a\u67e5\u8a62\u610f\u5411\u3001\u985e\u795e\u7d93\u7db2\u8def\u3001\u6e96\u76f8\u95dc\u56de\u994b</td></tr><tr><td>\u53c3\u8003\u6587\u737b</td></tr><tr><td>\u6458\u8981</td></tr><tr><td>\u4f34\u96a8\u8457\u7db2\u969b\u7db2\u8def\u5feb\u901f\u767c\u5c55\u8207\u591a\u5a92\u9ad4\u8cc7\u8a0a\u7684\u5927\u91cf\u589e\u9577\uff0c\u5f71\u97f3\u7684\u50b3\u905e\u8207\u700f\u89bd\u8d8a\u4f86\u8d8a\u591a\u4e26\u4e14\u6210</td></tr><tr><td>\u70ba\u6211\u5011\u65e5\u5e38\u751f\u6d3b\u7684\u91cd\u8981\u6d3b\u52d5\uff0c\u9019\u4f7f\u5f97\u95dc\u65bc\u8a9e\u97f3\u6587\u4ef6\u6aa2\u7d22(Spoken Document Retrieval,</td></tr><tr><td>SDR)\u7684\u7814\u7a76\u6210\u70ba\u4e00\u500b\u6709\u9b45\u529b\u7684\u7814\u7a76\u4e3b\u984c[1][2][3][4]\u3002\u4e00\u822c\u800c\u8a00\uff0cSDR \u7684\u7814\u7a76\u4e3b\u8981\u53ef\u5206</td></tr><tr><td>\u6210\u5169\u5927\u7814\u7a76\u65b9\u5411\uff1a\u7b2c\u4e00\u500b\u7814\u7a76\u65b9\u5411\u70ba\u5efa\u7acb\u5177\u5f37\u5065\u6027\u7684\u7d22\u5f15(Robust Indexing)\u4ee5\u8868\u9054\u8a9e\u97f3</td></tr><tr><td>\u6587\u4ef6\u4e2d\u8a5e\u5f59\u548c\u8a9e\u610f\u5167\u6db5\uff0c\u4e26\u4e14\u6e1b\u7de9\u8a9e\u97f3\u8fa8\u8b58\u932f\u8aa4\u6240\u9020\u6210\u7684\u5f71\u97ff\uff1b\u7b2c\u4e8c\u500b\u7814\u7a76\u65b9\u5411\u70ba\u767c\u5c55</td></tr><tr><td>\u6709\u6548\u7684\u6aa2\u7d22\u6a21\u578b(Effective Retrieval Models)\uff0c\u57fa\u65bc\u7d22\u5f15\u6240\u4ee3\u8868\u7684\u8a5e\u5f59\u548c\u8a9e\u610f\u5167\u6db5\u4f86\u91cf\u5316</td></tr><tr><td>\u4f7f\u7528\u8005\u8f38\u5165\u7684\u67e5\u8a62(Query)\u548c\u8a9e\u97f3\u6587\u4ef6\u7684\u76f8\u4f3c\u7a0b\u5ea6\uff0c\u4ee5\u5354\u52a9\u4f7f\u7528\u8005\u627e\u5230\u76f8\u95dc\u8cc7\u8a0a\uff0c\u53ef\u5206</td></tr></table>"
}
}
}
}