{"id":"https://openalex.org/W2295562802","doi":null,"title":"Extracting Problem and Resolution Information from Online Discussion Forums","display_name":"Extracting Problem and Resolution Information from Online Discussion Forums","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2295562802","mag":"2295562802"},"language":"en","primary_location":{"id":"mag:2295562802","doi":null,"is_oa":false,"landing_page_url":"https://www.cse.iitb.ac.in/~comad/2010/ResearchTrack/paper%206.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418077","display_name":"Conference on Management of Data","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Conference on Management of Data","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/A5066896766","display_name":"Preethi Raghavan","orcid":"https://orcid.org/0000-0002-2839-5847","observed_orcids":["https://orcid.org/0000-0002-2839-5847"]},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Preethi Raghavan","raw_affiliation_strings":["The Ohio State University, Columbus, United States"],"raw_orcid":"https://orcid.org/0000-0002-2839-5847","affiliations":[{"raw_affiliation_string":"The Ohio State University, Columbus, United States","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080107260","display_name":"Rose Catherine","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rose Catherine","raw_affiliation_strings":["IBM (United States), Armonk, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM (United States), Armonk, United States","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053319645","display_name":"Shajith Ikbal","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shajith Ikbal","raw_affiliation_strings":["IBM (United States), Armonk, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM (United States), Armonk, United States","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108259126","display_name":"Nanda Kambhatla","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nanda Kambhatla","raw_affiliation_strings":["IBM (United States), Armonk, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM (United States), Armonk, United States","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110446128","display_name":"Debapriyo Majumdar","orcid":"https://orcid.org/0009-0000-8823-9742","observed_orcids":["https://orcid.org/0009-0000-8823-9742"]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Debapriyo Majumdar","raw_affiliation_strings":["IBM (United States), Armonk, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM (United States), Armonk, United States","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7069,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85673987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"77","last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.7685999870300293,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.7685999870300293,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.08420000225305557,"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":0.04149999842047691,"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/online-discussion-forums","display_name":"online forums","score":0.9679999947547913},{"id":"https://openalex.org/keywords/problem-identification","display_name":"problem identification","score":0.6209999918937683},{"id":"https://openalex.org/keywords/solution-extraction","display_name":"solution extraction","score":0.8519999980926514},{"id":"https://openalex.org/keywords/message-classification","display_name":"message classification","score":0.6200000047683716},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"sequence labeling","score":0.7730000019073486},{"id":"https://openalex.org/keywords/conditional-random-fields","display_name":"conditional random fields","score":0.9380000233650208},{"id":"https://openalex.org/keywords/discussion-threads","display_name":"discussion threads","score":0.6420000195503235},{"id":"https://openalex.org/keywords/feature-induction","display_name":"feature induction","score":0.7120000123977661},{"id":"https://openalex.org/keywords/technical-support","display_name":"technical support","score":0.8159999847412109},{"id":"https://openalex.org/keywords/help-desk","display_name":"help desk","score":0.75}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.8610677719116211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7740210294723511},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7349323630332947},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6380969285964966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5849948525428772},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.5117911696434021},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49114176630973816},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.466886430978775},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.44957032799720764},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4424353539943695},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43125879764556885},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37386155128479004},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2295562802","doi":null,"is_oa":false,"landing_page_url":"https://www.cse.iitb.ac.in/~comad/2010/ResearchTrack/paper%206.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418077","display_name":"Conference on Management of Data","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Conference on Management of Data","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W110397465","https://openalex.org/W163605501","https://openalex.org/W177764760","https://openalex.org/W1534730506","https://openalex.org/W1566149065","https://openalex.org/W1964079213","https://openalex.org/W1984849167","https://openalex.org/W2001184714","https://openalex.org/W2003458432","https://openalex.org/W2019071678","https://openalex.org/W2050397840","https://openalex.org/W2116216325","https://openalex.org/W2119671065","https://openalex.org/W2125838338","https://openalex.org/W2147880316","https://openalex.org/W2148118556","https://openalex.org/W2160584628","https://openalex.org/W2161744072","https://openalex.org/W2730341761","https://openalex.org/W3149154678"],"related_works":["https://openalex.org/W790104570","https://openalex.org/W177764760","https://openalex.org/W7100474905","https://openalex.org/W2250929734","https://openalex.org/W3083449679","https://openalex.org/W2157884984","https://openalex.org/W2184019479","https://openalex.org/W1966410656","https://openalex.org/W2140495700","https://openalex.org/W7096280705"],"abstract_inverted_index":{"The":[0,42,112],"ability":[1],"to":[2,6,38],"obtain":[3],"quick":[4],"solutions":[5,37],"problems":[7],"is":[8,169],"an":[9,28],"important":[10,62],"requirement":[11],"in":[12,72,118],"many":[13],"practical":[14],"applications":[15],"such":[16],"as":[17,75,83,108,110],"help":[18],"desks":[19],"and":[20,50,88,114,141,163],"technical":[21],"support.":[22],"In":[23],"this":[24,81],"paper,":[25],"we":[26],"describe":[27],"approach":[29,44],"that":[30],"will":[31],"enable":[32],"easy":[33],"identification":[34],"of":[35,47,64,134,143,157],"potential":[36],"a":[39,65,84,90,106,119,170],"given":[40],"problem.":[41],"proposed":[43],"involves":[45],"extraction":[46],"useful":[48],"problem-":[49,76],"resolution-related":[51,166],"information":[52,115,162],"from":[53,101],"online":[54],"discussion":[55,66,121],"forums.":[56],"We":[57,79,129],"specifically":[58],"focus":[59],"on":[60,138],"identifying":[61],"parts":[63],"thread":[67,74,122],"by":[68],"classifying":[69],"message":[70],"posts":[71],"the":[73,132,139,144],"or":[77],"resolution-related.":[78],"cast":[80],"problem":[82,160],"sequence":[85,145],"labeling":[86,146],"task":[87],"train":[89],"discriminative":[91],"Conditional":[92],"Random":[93],"Field":[94],"for":[95,127,159,165],"supervised":[96],"learning.":[97],"Results":[98],"are":[99],"presented":[100],"classification":[102,150],"experiments":[103],"done":[104],"at":[105],"sentence":[107],"well":[109],"phrase-level.":[111],"structure":[113],"flow":[116],"pattern":[117],"typical":[120],"helps":[123],"generate":[124],"effective":[125],"features":[126,137],"classification.":[128],"also":[130],"discuss":[131],"effect":[133],"inducing":[135],"different":[136],"precision":[140],"recall":[142],"task.":[147],"Sentence":[148],"level":[149],"with":[151],"feature":[152],"induction":[153],"yielded":[154],"F1":[155],"scores":[156],"66%":[158],"related":[161],"58.8%":[164],"information,":[167],"which":[168],"significant":[171],"improvement":[172],"over":[173],"our":[174],"baseline":[175],"scores.":[176]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
