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Chinese Question classification based on multi strategy method
Question Classification is one of the key technologies of the question answering. This paper used questions set and improved head word extraction, and also presented question word+ part of speech 3-grams rules extraction. The unsolved questions were taken to Bayesian model to decide question categor...
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creator | Xie Zheng-wen Pan Shan-liang |
description | Question Classification is one of the key technologies of the question answering. This paper used questions set and improved head word extraction, and also presented question word+ part of speech 3-grams rules extraction. The unsolved questions were taken to Bayesian model to decide question categories. Experiments prove it can make the question classification get satisfaction results for the improvement of head word extraction and the utilization of the question word+ part of speech 3-grams rules. |
doi_str_mv | 10.1109/TMEE.2011.6199517 |
format | conference_proceeding |
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This paper used questions set and improved head word extraction, and also presented question word+ part of speech 3-grams rules extraction. The unsolved questions were taken to Bayesian model to decide question categories. Experiments prove it can make the question classification get satisfaction results for the improvement of head word extraction and the utilization of the question word+ part of speech 3-grams rules.</description><identifier>ISBN: 145771700X</identifier><identifier>ISBN: 9781457717000</identifier><identifier>EISBN: 1457716992</identifier><identifier>EISBN: 9781457716997</identifier><identifier>EISBN: 9781457717017</identifier><identifier>EISBN: 1457717018</identifier><identifier>DOI: 10.1109/TMEE.2011.6199517</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accuracy ; Bayesian methods ; Bayesian model ; Classification algorithms ; Question answering ; Question Classification ; Rules ; Speech ; Support vector machines ; Training</subject><ispartof>Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE), 2011, p.1605-1609</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6199517$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6199517$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xie Zheng-wen</creatorcontrib><creatorcontrib>Pan Shan-liang</creatorcontrib><title>Chinese Question classification based on multi strategy method</title><title>Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE)</title><addtitle>TMEE</addtitle><description>Question Classification is one of the key technologies of the question answering. This paper used questions set and improved head word extraction, and also presented question word+ part of speech 3-grams rules extraction. The unsolved questions were taken to Bayesian model to decide question categories. Experiments prove it can make the question classification get satisfaction results for the improvement of head word extraction and the utilization of the question word+ part of speech 3-grams rules.</description><subject>Accuracy</subject><subject>Bayesian methods</subject><subject>Bayesian model</subject><subject>Classification algorithms</subject><subject>Question answering</subject><subject>Question Classification</subject><subject>Rules</subject><subject>Speech</subject><subject>Support vector machines</subject><subject>Training</subject><isbn>145771700X</isbn><isbn>9781457717000</isbn><isbn>1457716992</isbn><isbn>9781457716997</isbn><isbn>9781457717017</isbn><isbn>1457717018</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1j09Lw0AUxFdEUGs_gHjZL5C4L_sv7yJIiFWoiJCDt7LZvNiVpJXs9tBvb9A6l5nfZZhh7BZEDiDwvnmt67wQALkBRA32jF2D0taCQSzO_8EK8XHJljF-iVlWKKHUFXuotmFHkfj7gWIK-x33g4sx9MG7X2xdpI7PYTwMKfCYJpfo88hHStt9d8MuejdEWp58wZqnuqmes_Xb6qV6XGcBRcrQGl1A6UojhdG91WgLWdhWoyHfe4slduSVNLZFUg4cSIfz-N6JzrfayAW7-6sNRLT5nsLopuPmdFf-AEdUSMQ</recordid><startdate>201112</startdate><enddate>201112</enddate><creator>Xie Zheng-wen</creator><creator>Pan Shan-liang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201112</creationdate><title>Chinese Question classification based on multi strategy method</title><author>Xie Zheng-wen ; Pan Shan-liang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-9765218a863065f75972327b596ecfc7989dec4367b9e4a1a13a9699fa0dcb563</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Accuracy</topic><topic>Bayesian methods</topic><topic>Bayesian model</topic><topic>Classification algorithms</topic><topic>Question answering</topic><topic>Question Classification</topic><topic>Rules</topic><topic>Speech</topic><topic>Support vector machines</topic><topic>Training</topic><toplevel>online_resources</toplevel><creatorcontrib>Xie Zheng-wen</creatorcontrib><creatorcontrib>Pan Shan-liang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xie Zheng-wen</au><au>Pan Shan-liang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Chinese Question classification based on multi strategy method</atitle><btitle>Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE)</btitle><stitle>TMEE</stitle><date>2011-12</date><risdate>2011</risdate><spage>1605</spage><epage>1609</epage><pages>1605-1609</pages><isbn>145771700X</isbn><isbn>9781457717000</isbn><eisbn>1457716992</eisbn><eisbn>9781457716997</eisbn><eisbn>9781457717017</eisbn><eisbn>1457717018</eisbn><abstract>Question Classification is one of the key technologies of the question answering. This paper used questions set and improved head word extraction, and also presented question word+ part of speech 3-grams rules extraction. The unsolved questions were taken to Bayesian model to decide question categories. Experiments prove it can make the question classification get satisfaction results for the improvement of head word extraction and the utilization of the question word+ part of speech 3-grams rules.</abstract><pub>IEEE</pub><doi>10.1109/TMEE.2011.6199517</doi><tpages>5</tpages></addata></record> |
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subjects | Accuracy Bayesian methods Bayesian model Classification algorithms Question answering Question Classification Rules Speech Support vector machines Training |
title | Chinese Question classification based on multi strategy method |
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