Research of Complex Question Parsing Based on Condition Extraction
To the complex condition question, the parsing algorithm based on condition extraction is proposed. The complex condition question includes two parts: the condition description part and the question focus description part. The two parts are processed separately and then merged to obtain the complex...
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| creator | Xiuling Pang Keliang Jia |
| description | To the complex condition question, the parsing algorithm based on condition extraction is proposed. The complex condition question includes two parts: the condition description part and the question focus description part. The two parts are processed separately and then merged to obtain the complex condition question semantic representation. The algorithm can objectively reveal the structure essence of the complex condition question. The experimental result shows that this algorithm has obtained certain effect in the restricted domain question answering system. |
| doi_str_mv | 10.1109/APCIP.2009.287 |
| format | Conference Proceeding |
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The complex condition question includes two parts: the condition description part and the question focus description part. The two parts are processed separately and then merged to obtain the complex condition question semantic representation. The algorithm can objectively reveal the structure essence of the complex condition question. The experimental result shows that this algorithm has obtained certain effect in the restricted domain question answering system.</description><identifier>ISBN: 9780769536996</identifier><identifier>ISBN: 0769536999</identifier><identifier>DOI: 10.1109/APCIP.2009.287</identifier><identifier>LCCN: 2009903120</identifier><language>eng</language><publisher>IEEE</publisher><subject>complex condition question parsing ; condition extraction ; Data mining ; Educational technology ; Information management ; Information processing ; Pattern matching ; Speech</subject><ispartof>2009 Asia-Pacific Conference on Information Processing, 2009, Vol.2, p.623-626</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/5197275$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5197275$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xiuling Pang</creatorcontrib><creatorcontrib>Keliang Jia</creatorcontrib><title>Research of Complex Question Parsing Based on Condition Extraction</title><title>2009 Asia-Pacific Conference on Information Processing</title><addtitle>APCIP</addtitle><description>To the complex condition question, the parsing algorithm based on condition extraction is proposed. The complex condition question includes two parts: the condition description part and the question focus description part. The two parts are processed separately and then merged to obtain the complex condition question semantic representation. The algorithm can objectively reveal the structure essence of the complex condition question. The experimental result shows that this algorithm has obtained certain effect in the restricted domain question answering system.</description><subject>complex condition question parsing</subject><subject>condition extraction</subject><subject>Data mining</subject><subject>Educational technology</subject><subject>Information management</subject><subject>Information processing</subject><subject>Pattern matching</subject><subject>Speech</subject><isbn>9780769536996</isbn><isbn>0769536999</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjFFLwzAURgMyUGdfffGlf6A1N1mS3setTB0MrKLP46a51ci2jqbC_Pc69ek7nAOfENcgSwCJt_OmXjWlkhJLVbkzkaGrpLNotEW0E3F5Sig1KHkuspQ-pJSA1inQF2LxzIlpaN_zvsvrfnfY8jF_-uQ0xn6fNzSkuH_LF5Q45D-i7vch_qblcRyoPeGVmHS0TZz971S83i1f6odi_Xi_qufrIoIzY2GUpUDBttr7iuyswxaMNR1pQtV6hYDIoLVE7x0TsKsUVybYoKznmdZTcfP3G5l5cxjijoavjQF0yhn9DdiqSsI</recordid><startdate>200907</startdate><enddate>200907</enddate><creator>Xiuling Pang</creator><creator>Keliang Jia</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200907</creationdate><title>Research of Complex Question Parsing Based on Condition Extraction</title><author>Xiuling Pang ; Keliang Jia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-526adad6c3bb8a64f9c1565fa3a92cb29199e13309bb7ea1e782e85d6d26be433</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>complex condition question parsing</topic><topic>condition extraction</topic><topic>Data mining</topic><topic>Educational technology</topic><topic>Information management</topic><topic>Information processing</topic><topic>Pattern matching</topic><topic>Speech</topic><toplevel>online_resources</toplevel><creatorcontrib>Xiuling Pang</creatorcontrib><creatorcontrib>Keliang Jia</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 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>Xiuling Pang</au><au>Keliang Jia</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Research of Complex Question Parsing Based on Condition Extraction</atitle><btitle>2009 Asia-Pacific Conference on Information Processing</btitle><stitle>APCIP</stitle><date>2009-07</date><risdate>2009</risdate><volume>2</volume><spage>623</spage><epage>626</epage><pages>623-626</pages><isbn>9780769536996</isbn><isbn>0769536999</isbn><abstract>To the complex condition question, the parsing algorithm based on condition extraction is proposed. The complex condition question includes two parts: the condition description part and the question focus description part. The two parts are processed separately and then merged to obtain the complex condition question semantic representation. The algorithm can objectively reveal the structure essence of the complex condition question. The experimental result shows that this algorithm has obtained certain effect in the restricted domain question answering system.</abstract><pub>IEEE</pub><doi>10.1109/APCIP.2009.287</doi><tpages>4</tpages></addata></record> |
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| ispartof | 2009 Asia-Pacific Conference on Information Processing, 2009, Vol.2, p.623-626 |
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| language | eng |
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| subjects | complex condition question parsing condition extraction Data mining Educational technology Information management Information processing Pattern matching Speech |
| title | Research of Complex Question Parsing Based on Condition Extraction |
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