{"id":"https://openalex.org/W2829551667","doi":null,"title":"A Neural Question Answering Model Based on Semi-Structured Tables","display_name":"A Neural Question Answering Model Based on Semi-Structured Tables","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2829551667","mag":"2829551667"},"language":"en","primary_location":{"id":"mag:2829551667","doi":null,"is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/C18-1165.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419219","display_name":"International Conference on Computational Linguistics","issn_l":"1525-2477","issn":["1525-2477"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Computational Linguistics","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5101854659","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-6959-7237","observed_orcids":["https://orcid.org/0000-0001-6959-7237"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6959-7237","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaodong Zhang","orcid":"https://orcid.org/0000-0001-9786-7038","observed_orcids":["https://orcid.org/0000-0001-9786-7038"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Zhang","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9786-7038","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113130010","display_name":"Shuming Ma","orcid":"https://orcid.org/0000-0003-1091-1206","observed_orcids":["https://orcid.org/0000-0003-1091-1206"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuming Ma","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1091-1206","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101441137","display_name":"Xu Sun","orcid":"https://orcid.org/0000-0001-8241-9320","observed_orcids":["https://orcid.org/0000-0001-8241-9320"]},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Sun","raw_affiliation_strings":["University of Nottingham Ningbo China, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0001-8241-9320","affiliations":[{"raw_affiliation_string":"University of Nottingham Ningbo China, Ningbo, China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025565222","display_name":"Houfeng Wang","orcid":"https://orcid.org/0000-0001-7130-1589","observed_orcids":["https://orcid.org/0000-0001-7130-1589"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houfeng Wang","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7130-1589","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102923759","display_name":"Mengxiang Wang","orcid":"https://orcid.org/0000-0002-1962-7618","observed_orcids":["https://orcid.org/0000-0002-1962-7618"]},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengxiang Wang","raw_affiliation_strings":["Beijing Union University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1962-7618","affiliations":[{"raw_affiliation_string":"Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.444,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.6635635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1941","last_page":"1951"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9272000193595886,"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":0.9272000193595886,"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":0.01360000018030405,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.01119999960064888,"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":0.9010000228881836},{"id":"https://openalex.org/keywords/multiple-choice-questions","display_name":"multiple-choice questions","score":0.7850000262260437},{"id":"https://openalex.org/keywords/knowledge-representation","display_name":"knowledge representation","score":0.41999998688697815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.827051043510437},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8170723915100098},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6154772639274597},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5824145078659058},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5294845700263977},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5076683759689331},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45979711413383484},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.455645889043808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4475187659263611},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28556591272354126},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17505621910095215},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2829551667","doi":null,"is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/C18-1165.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419219","display_name":"International Conference on Computational Linguistics","issn_l":"1525-2477","issn":["1525-2477"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Computational Linguistics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1807037522","https://openalex.org/W1984647478","https://openalex.org/W2080133951","https://openalex.org/W2094728533","https://openalex.org/W2095705004","https://openalex.org/W2143017621","https://openalex.org/W2146502635","https://openalex.org/W2148721079","https://openalex.org/W2176412452","https://openalex.org/W2211192759","https://openalex.org/W2250539671","https://openalex.org/W2251079237","https://openalex.org/W2409591106","https://openalex.org/W2509893387","https://openalex.org/W2512994153","https://openalex.org/W2587528408","https://openalex.org/W2615562762","https://openalex.org/W2770286882","https://openalex.org/W2964189376"],"related_works":["https://openalex.org/W2990712747","https://openalex.org/W2512994153","https://openalex.org/W2590657697","https://openalex.org/W3044303006","https://openalex.org/W4392669758","https://openalex.org/W2945368810","https://openalex.org/W3040853550","https://openalex.org/W2553108800","https://openalex.org/W3166373940","https://openalex.org/W3208029286"],"abstract_inverted_index":{"Most":[0],"question":[1,91],"answering":[2],"(QA)":[3],"systems":[4],"are":[5,18],"based":[6],"on":[7],"raw":[8,15],"text":[9,16],"and":[10,25,92,96,114],"structured":[11,26],"knowledge":[12,27],"graph.":[13],"However,":[14],"corpora":[17],"hard":[19],"for":[20],"QA":[21],"system":[22,57,70,85,108],"to":[23,38,58,120],"understand,":[24],"graph":[28],"needs":[29],"intensive":[30],"manual":[31],"work,":[32],"while":[33],"it":[34,77],"is":[35,109],"relatively":[36],"easy":[37],"obtain":[39],"semi-structured":[40,64],"tables":[41,65],"from":[42],"many":[43],"sources":[44],"directly,":[45],"or":[46],"build":[47,54],"them":[48],"automatically.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"an":[55],"end-to-end":[56],"answer":[59],"multiple":[60],"choice":[61],"questions":[62],"with":[63,111],"as":[66,102],"its":[67],"knowledge.":[68],"Our":[69],"answers":[71],"queries":[72],"by":[73],"two":[74],"steps.":[75],"First,":[76],"finds":[78],"the":[79,84,87,98,103,121,124],"most":[80,99],"similar":[81],"tables.":[82],"Then":[83],"measures":[86],"relevance":[88],"between":[89],"each":[90],"candidate":[93],"table":[94],"cells,":[95],"choose":[97],"related":[100],"cell":[101],"source":[104],"of":[105,123],"answer.":[106],"The":[107],"evaluated":[110],"TabMCQ":[112],"dataset,":[113],"gets":[115],"a":[116],"huge":[117],"improvement":[118],"compared":[119],"state":[122],"art.":[125]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2018-07-19T00:00:00"}
