{"id":"https://openalex.org/W2597742818","doi":"https://doi.org/10.1109/ialp.2016.7875972","title":"Research on question classification for Automatic Question Answering","display_name":"Research on question classification for Automatic Question Answering","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2597742818","doi":"https://doi.org/10.1109/ialp.2016.7875972","mag":"2597742818"},"language":"en","primary_location":{"id":"doi:10.1109/ialp.2016.7875972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2016.7875972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090032679","display_name":"Shihua Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihua Xu","raw_affiliation_strings":["School of Computer Science & Technology Soochow University, Suzhou, Jiangsu Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology Soochow University, Suzhou, Jiangsu Province, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014070150","display_name":"Gang Cheng","orcid":"https://orcid.org/0000-0002-0462-3411"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Cheng","raw_affiliation_strings":["School of Computer Science & Technology Soochow University, Suzhou, Jiangsu Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology Soochow University, Suzhou, Jiangsu Province, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102803936","display_name":"Fang Kong","orcid":"https://orcid.org/0000-0002-7102-0143"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Kong","raw_affiliation_strings":["School of Computer Science & Technology Soochow University, Suzhou, Jiangsu Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology Soochow University, Suzhou, Jiangsu Province, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"218","last_page":"221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.8909201622009277},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.8708443641662598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8369724750518799},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.8027369976043701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6705054640769958},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5809991955757141},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5587806105613708},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5237995386123657},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.48916390538215637},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.41577935218811035},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3865766227245331}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8909201622009277},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.8708443641662598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8369724750518799},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.8027369976043701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6705054640769958},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5809991955757141},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5587806105613708},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5237995386123657},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.48916390538215637},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41577935218811035},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3865766227245331},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp.2016.7875972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2016.7875972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2019307700","https://openalex.org/W2052636518","https://openalex.org/W2070246124","https://openalex.org/W2086004682","https://openalex.org/W2105969777","https://openalex.org/W2149048832","https://openalex.org/W2153635508","https://openalex.org/W2361260997","https://openalex.org/W2381535250","https://openalex.org/W3120421331","https://openalex.org/W4230674625","https://openalex.org/W6663544537","https://openalex.org/W6668254845"],"related_works":["https://openalex.org/W3157284875","https://openalex.org/W2259406085","https://openalex.org/W2099715052","https://openalex.org/W2147241511","https://openalex.org/W4226247999","https://openalex.org/W4213176082","https://openalex.org/W2187398150","https://openalex.org/W3209772662","https://openalex.org/W4200629926","https://openalex.org/W4220955952"],"abstract_inverted_index":{"Automatic":[0],"Question":[1],"Answering":[2],"(QA)":[3],"is":[4,21,37],"a":[5,26],"hot":[6],"topic":[7],"in":[8],"both":[9],"Natural":[10],"Language":[11],"Processing":[12],"(NLP)":[13],"and":[14,50],"Information":[15],"Retrieval":[16],"(IR).":[17],"And":[18],"question":[19],"classification":[20],"the":[22,57,65,70,82],"key":[23],"step":[24],"of":[25,59],"successful":[27],"automatic":[28],"QA":[29],"system.":[30,43,62],"In":[31,79],"this":[32],"paper,":[33],"an":[34],"SVM-based":[35],"approach":[36,87],"firstly":[38],"proposed":[39,86],"as":[40],"our":[41,60,75,85],"baseline":[42,61,76],"Then":[44],"two":[45],"additional":[46],"features,":[47],"i.e.,":[48],"top-words":[49],"dependency":[51],"relations,":[52],"are":[53],"introduced":[54,71],"to":[55],"improve":[56,74],"performance":[58],"Experiments":[63],"on":[64],"UIUC":[66],"corpus":[67],"show":[68],"that":[69],"features":[72],"can":[73],"system":[77],"significantly.":[78],"comparison":[80],"with":[81],"state-of-the-art":[83],"system,":[84],"also":[88],"achieves":[89],"better":[90],"performance.":[91]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
