{"id":"https://openalex.org/W2084066912","doi":"https://doi.org/10.1145/2187980.2188097","title":"Domain adaptive answer extraction for discussion boards","display_name":"Domain adaptive answer extraction for discussion boards","publication_year":2012,"publication_date":"2012-04-16","ids":{"openalex":"https://openalex.org/W2084066912","doi":"https://doi.org/10.1145/2187980.2188097","mag":"2084066912"},"language":"en","primary_location":{"id":"doi:10.1145/2187980.2188097","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2187980.2188097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on World Wide Web","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/A5014054572","display_name":"Ankur Gandhe","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ankur Gandhe","raw_affiliation_strings":["IBM Research India, Bangalore, India","IBM Research, India, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research India, Bangalore, India","institution_ids":["https://openalex.org/I4210103279"]},{"raw_affiliation_string":"IBM Research, India, Bangalore, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072149704","display_name":"Dinesh Raghu","orcid":"https://orcid.org/0000-0002-8960-6222"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dinesh Raghu","raw_affiliation_strings":["IBM Research India, Bangalore, India","IBM Research, India, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research India, Bangalore, India","institution_ids":["https://openalex.org/I4210103279"]},{"raw_affiliation_string":"IBM Research, India, Bangalore, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080107260","display_name":"Rose Catherine","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rose Catherine","raw_affiliation_strings":["IBM Research India, Bangalore, India","IBM Research, India, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research India, Bangalore, India","institution_ids":["https://openalex.org/I4210103279"]},{"raw_affiliation_string":"IBM Research, India, Bangalore, India","institution_ids":["https://openalex.org/I4210103279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210103279"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"501","last_page":"502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10028","display_name":"Topic Modeling","score":0.9973999857902527,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/computer-science","display_name":"Computer science","score":0.8079268336296082},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.8030444383621216},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7862997055053711},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.6631069183349609},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6519067287445068},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5692117810249329},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5547927021980286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48470616340637207},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47622209787368774},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4152933955192566},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3729049861431122},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33293938636779785},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11411657929420471},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08909052610397339}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8079268336296082},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.8030444383621216},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7862997055053711},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.6631069183349609},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6519067287445068},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5692117810249329},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5547927021980286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48470616340637207},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47622209787368774},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4152933955192566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3729049861431122},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33293938636779785},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11411657929420471},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08909052610397339},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2187980.2188097","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2187980.2188097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on World Wide Web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1584003909","https://openalex.org/W1724480474","https://openalex.org/W3149154678"],"related_works":["https://openalex.org/W3082848404","https://openalex.org/W1979583797","https://openalex.org/W2016864125","https://openalex.org/W2372254676","https://openalex.org/W2085384747","https://openalex.org/W2080135837","https://openalex.org/W2088166309","https://openalex.org/W2793679056","https://openalex.org/W1891216533","https://openalex.org/W4312133475"],"abstract_inverted_index":{"Answer":[0],"extraction":[1,86],"from":[2],"discussion":[3],"boards":[4],"is":[5,15,46,59],"an":[6,91],"extensively":[7],"studied":[8],"problem.":[9],"Most":[10],"of":[11,77,116],"the":[12,34,50,57,85,95,113,117],"existing":[13],"work":[14],"focused":[16],"on":[17],"supervised":[18],"methods":[19],"for":[20,33,53],"extracting":[21],"answers":[22],"using":[23],"similarity":[24],"features":[25,65],"and":[26,61,106],"forum-specific":[27],"features.":[28],"Although":[29],"this":[30,71],"works":[31],"well":[32],"domain":[35,55,79,109,114,122,133],"or":[36],"forum":[37,63],"data":[38],"that":[39,83,125],"it":[40,45],"has":[41],"been":[42],"trained":[43],"on,":[44],"difficult":[47],"to":[48,103,130],"use":[49,121],"same":[51],"models":[52],"a":[54,78,98,108],"where":[56],"vocabulary":[58],"different":[60],"some":[62],"specific":[64],"may":[66],"not":[67],"be":[68,104,127],"available.":[69],"In":[70],"poster,":[72],"we":[73],"report":[74],"initial":[75],"results":[76],"adaptive":[80],"answer":[81,92],"extractor":[82],"performs":[84],"in":[87,97],"two":[88],"steps:":[89],"a)":[90],"recognizer":[93],"identifies":[94],"sentences":[96],"post":[99],"which":[100],"are":[101],"likely":[102],"answers,":[105],"b)":[107],"relevance":[110],"module":[111],"determines":[112],"significance":[115],"identified":[118],"answer.":[119],"We":[120],"independent":[123],"methodology":[124],"can":[126],"easily":[128],"adapted":[129],"any":[131],"given":[132],"with":[134],"minimum":[135],"effort.":[136]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
