{"id":"https://openalex.org/W1982168708","doi":"https://doi.org/10.1145/1148170.1148210","title":"Probabilistic model for definitional question answering","display_name":"Probabilistic model for definitional question answering","publication_year":2006,"publication_date":"2006-08-06","ids":{"openalex":"https://openalex.org/W1982168708","doi":"https://doi.org/10.1145/1148170.1148210","mag":"1982168708"},"language":"en","primary_location":{"id":"doi:10.1145/1148170.1148210","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1148170.1148210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},"type":"article","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/A5011845233","display_name":"Kyoung-Soo Han","orcid":"https://orcid.org/0000-0002-3970-3411"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kyoung-Soo Han","raw_affiliation_strings":["Korea University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028145173","display_name":"Young-In Song","orcid":"https://orcid.org/0000-0003-0669-005X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-In Song","raw_affiliation_strings":["Korea University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111783356","display_name":"Hae\u2010Chang Rim","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hae-Chang Rim","raw_affiliation_strings":["Korea University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011845233"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":3.53669115,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.92696569,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"212","last_page":"219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9987000226974487,"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":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.8060001730918884},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.8050000071525574},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.7826917171478271},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.7135674953460693},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6217488050460815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5675700902938843},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.548289954662323},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5475623607635498},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5101228356361389},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.47537747025489807},{"id":"https://openalex.org/keywords/probabilistic-relevance-model","display_name":"Probabilistic relevance model","score":0.465831458568573},{"id":"https://openalex.org/keywords/probabilistic-analysis-of-algorithms","display_name":"Probabilistic analysis of algorithms","score":0.11147505044937134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8060001730918884},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.8050000071525574},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7826917171478271},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.7135674953460693},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6217488050460815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5675700902938843},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.548289954662323},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5475623607635498},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5101228356361389},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.47537747025489807},{"id":"https://openalex.org/C143017306","wikidata":"https://www.wikidata.org/wiki/Q3318133","display_name":"Probabilistic relevance model","level":4,"score":0.465831458568573},{"id":"https://openalex.org/C24404364","wikidata":"https://www.wikidata.org/wiki/Q7246846","display_name":"Probabilistic analysis of algorithms","level":3,"score":0.11147505044937134},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1148170.1148210","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1148170.1148210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1449118","https://openalex.org/W119590420","https://openalex.org/W183439197","https://openalex.org/W198220271","https://openalex.org/W348133106","https://openalex.org/W1520377376","https://openalex.org/W1972594981","https://openalex.org/W2034267313","https://openalex.org/W2065240770","https://openalex.org/W2082145945","https://openalex.org/W2096623622","https://openalex.org/W2100520226","https://openalex.org/W2101338408","https://openalex.org/W2116225596","https://openalex.org/W2132957691","https://openalex.org/W2140264581","https://openalex.org/W2146950091","https://openalex.org/W2154652894","https://openalex.org/W2160204597","https://openalex.org/W2165626234"],"related_works":["https://openalex.org/W3204607391","https://openalex.org/W2964413124","https://openalex.org/W4388937922","https://openalex.org/W3113264705","https://openalex.org/W2057062109","https://openalex.org/W2345647014","https://openalex.org/W2274846632","https://openalex.org/W4254087122","https://openalex.org/W2201192772","https://openalex.org/W1995723602"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,54,112,119],"probabilistic":[4,76,113,127],"model":[5,77,106,128],"for":[6,37],"definitional":[7,17,23,39,65,84,120],"question":[8,24,32,40],"answering":[9,82],"(QA)":[10],"that":[11,87,118],"reflects":[12],"the":[13,16,22,28,31,38,43,47,50,58,62,69,74,79,83,90,125],"characteristics":[14],"of":[15,21,49,57,64,81,88],"question.":[18],"The":[19,104],"intention":[20],"is":[25,129],"to":[26,46,131],"request":[27],"definition":[29,59,72,97],"about":[30],"target.":[33],"Therefore,":[34],"an":[35],"answer":[36],"should":[41],"contain":[42],"content":[44],"relevant":[45],"topic":[48,70,94],"target,":[51],"and":[52,71,100],"have":[53],"representation":[55],"form":[56],"style.":[60],"Modeling":[61],"problem":[63],"QA":[66,121],"from":[67],"both":[68],"viewpoints,":[73],"proposed":[75,105,126],"converts":[78],"task":[80],"questions":[85],"into":[86],"estimating":[89],"three":[91],"language":[92,95,98,102],"models:":[93],"model,":[96,99],"general":[101],"model.":[103],"systematically":[107],"combines":[108],"several":[109],"evidences":[110],"in":[111],"framework.":[114],"Experimental":[115],"results":[116],"show":[117],"system":[122],"based":[123],"on":[124],"comparable":[130],"state-of-the-art":[132],"systems.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
