{"id":"https://openalex.org/W4225496273","doi":"https://doi.org/10.1145/3486622.3493957","title":"Neural text generation for query expansion in information retrieval","display_name":"Neural text generation for query expansion in information retrieval","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4225496273","doi":"https://doi.org/10.1145/3486622.3493957"},"language":"en","primary_location":{"id":"doi:10.1145/3486622.3493957","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486622.3493957","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/WIC/ACM International Conference on Web Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03494692","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036636249","display_name":"Vincent Claveau","orcid":null},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Vincent Claveau","raw_affiliation_strings":["CNRS, IRISA, France","Creating and exploiting explicit links between multimedia fragments"],"affiliations":[{"raw_affiliation_string":"CNRS, IRISA, France","institution_ids":["https://openalex.org/I2802519937","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Creating and exploiting explicit links between multimedia fragments","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036636249"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I2802519937"],"apc_list":null,"apc_paid":null,"fwci":1.2566,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83940924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"202","last_page":"209"},"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":0.9994000196456909,"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":0.9988999962806702,"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":0.8649194240570068},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7439897060394287},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.7165896892547607},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5776438117027283},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5236722826957703},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4864496886730194},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.45091161131858826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.420324444770813},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24040469527244568}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8649194240570068},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7439897060394287},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.7165896892547607},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5776438117027283},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5236722826957703},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4864496886730194},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.45091161131858826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.420324444770813},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24040469527244568},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3486622.3493957","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486622.3493957","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/WIC/ACM International Conference on Web Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03494692v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03494692","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WI-IAT 2021 - 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Dec 2021, Melbourne, Australia. pp.1-8, ⟨10.1145/3486622.3493957⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03494692v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03494692","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WI-IAT 2021 - 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Dec 2021, Melbourne, Australia. pp.1-8, ⟨10.1145/3486622.3493957⟩","raw_type":"Conference papers"},"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W2005545412","https://openalex.org/W2032459394","https://openalex.org/W2087663869","https://openalex.org/W2102381086","https://openalex.org/W2105106523","https://openalex.org/W2250539671","https://openalex.org/W2890925361","https://openalex.org/W2896457183","https://openalex.org/W2899575547","https://openalex.org/W2910577570","https://openalex.org/W2945127593","https://openalex.org/W3021397474","https://openalex.org/W3099446234","https://openalex.org/W3102378333","https://openalex.org/W3127013648","https://openalex.org/W3152151101","https://openalex.org/W4240913316","https://openalex.org/W4245322178","https://openalex.org/W4288280763","https://openalex.org/W4385245566","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W1585007175","https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2380075625","https://openalex.org/W2370917603","https://openalex.org/W2382521049","https://openalex.org/W2952760143","https://openalex.org/W2144385241","https://openalex.org/W2017776670","https://openalex.org/W2347897961"],"abstract_inverted_index":{"Expanding":[0],"users\u2019":[1],"query":[2,116],"is":[3,87],"a":[4,54,88,101],"well-known":[5,55],"way":[6,91],"to":[7,46,92,132],"improve":[8,93],"the":[9,21,41,49,94,133],"performance":[10,95],"of":[11,25,43,96,135],"document":[12],"retrieval":[13],"systems.":[14],"Several":[15],"approaches":[16],"have":[17],"been":[18],"proposed":[19],"in":[20,33],"literature,":[22],"and":[23,79,107,138],"some":[24],"them":[26],"are":[27],"considered":[28],"as":[29],"yielding":[30],"state-of-the-art":[31],"results":[32],"Information":[34],"Retrieval.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,82],"explore":[40],"use":[42],"text":[44,85],"generation":[45,86],"automatically":[47],"expand":[48],"queries.":[50],"We":[51],"rely":[52],"on":[53,73,115,127],"neural":[56],"generative":[57],"model,":[58],"OpenAI\u2019s":[59],"GPT-2,":[60],"that":[61,84,108],"comes":[62],"with":[63,100],"pre-trained":[64],"models":[65],"for":[66],"English":[67],"but":[68],"can":[69,123],"also":[70,113],"be":[71,125],"fine-tuned":[72],"specific":[74],"corpora.":[75],"Through":[76],"different":[77],"experiments":[78],"several":[80],"datasets,":[81],"show":[83],"very":[89],"effective":[90],"an":[97],"IR":[98,129],"system,":[99],"large":[102],"margin":[103],"(+10":[104],"%MAP":[105],"gains),":[106],"it":[109],"outperforms":[110],"strong":[111],"baselines":[112],"relying":[114],"expansion":[117],"(RM3).":[118],"This":[119],"conceptually":[120],"simple":[121],"approach":[122],"easily":[124],"implemented":[126],"any":[128],"system":[130],"thanks":[131],"availability":[134],"GPT":[136],"code":[137],"models.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}