{"id":"https://openalex.org/W4284685989","doi":"https://doi.org/10.1145/3477495.3531944","title":"BERT-ER","display_name":"BERT-ER","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4284685989","doi":"https://doi.org/10.1145/3477495.3531944"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3531944","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531944","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5004223654","display_name":"Shubham Chatterjee","orcid":"https://orcid.org/0000-0002-6729-1346"},"institutions":[{"id":"https://openalex.org/I161057412","display_name":"University of New Hampshire","ror":"https://ror.org/01rmh9n78","country_code":"US","type":"education","lineage":["https://openalex.org/I161057412"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shubham Chatterjee","raw_affiliation_strings":["University of New Hampshire, Durham, NH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Hampshire, Durham, NH, USA","institution_ids":["https://openalex.org/I161057412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027260515","display_name":"Laura Dietz","orcid":"https://orcid.org/0000-0003-1624-3907"},"institutions":[{"id":"https://openalex.org/I161057412","display_name":"University of New Hampshire","ror":"https://ror.org/01rmh9n78","country_code":"US","type":"education","lineage":["https://openalex.org/I161057412"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laura Dietz","raw_affiliation_strings":["University of New Hampshire, Durham, NH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Hampshire, Durham, NH, USA","institution_ids":["https://openalex.org/I161057412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161057412"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1466","last_page":"1477"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9973999857902527,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/paragraph","display_name":"Paragraph","score":0.8891451954841614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8536206483840942},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8107521533966064},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.68614661693573},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6301056146621704},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5568505525588989},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.5228990912437439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39895814657211304},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33550116419792175},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24835628271102905},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.0558454692363739}],"concepts":[{"id":"https://openalex.org/C2777206241","wikidata":"https://www.wikidata.org/wiki/Q194431","display_name":"Paragraph","level":2,"score":0.8891451954841614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8536206483840942},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8107521533966064},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.68614661693573},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6301056146621704},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5568505525588989},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.5228990912437439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39895814657211304},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33550116419792175},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24835628271102905},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.0558454692363739},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477495.3531944","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531944","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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":"Proceedings of the 45th 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":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G3847272511","display_name":"CAREER: Utilizing Fine-Grained Knowledge Annotations in Text Understanding and Retrieval","funder_award_id":"1846017","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1552847225","https://openalex.org/W1987971958","https://openalex.org/W2000411838","https://openalex.org/W2026086644","https://openalex.org/W2046217376","https://openalex.org/W2049534074","https://openalex.org/W2051224630","https://openalex.org/W2054434916","https://openalex.org/W2070740689","https://openalex.org/W2088481255","https://openalex.org/W2104428806","https://openalex.org/W2116275525","https://openalex.org/W2123142779","https://openalex.org/W2128549493","https://openalex.org/W2164930967","https://openalex.org/W2168044903","https://openalex.org/W2169213601","https://openalex.org/W2187089797","https://openalex.org/W2283196293","https://openalex.org/W2292195699","https://openalex.org/W2337488840","https://openalex.org/W2516950233","https://openalex.org/W2520082712","https://openalex.org/W2604165577","https://openalex.org/W2612773933","https://openalex.org/W2740492458","https://openalex.org/W2741928062","https://openalex.org/W2746097825","https://openalex.org/W2750779823","https://openalex.org/W2807291761","https://openalex.org/W2912500072","https://openalex.org/W2953356739","https://openalex.org/W2955701345","https://openalex.org/W2962873665","https://openalex.org/W2963157366","https://openalex.org/W2963855739","https://openalex.org/W2975142086","https://openalex.org/W3044865082","https://openalex.org/W3094231056","https://openalex.org/W3100283070","https://openalex.org/W3103296180","https://openalex.org/W3105935311","https://openalex.org/W3151929433","https://openalex.org/W3152736451","https://openalex.org/W4206277161","https://openalex.org/W4242401062","https://openalex.org/W4246858749","https://openalex.org/W4247780151","https://openalex.org/W4252076394"],"related_works":["https://openalex.org/W2377059580","https://openalex.org/W127000293","https://openalex.org/W4200355488","https://openalex.org/W3215892509","https://openalex.org/W2928616779","https://openalex.org/W2412592434","https://openalex.org/W2010523086","https://openalex.org/W4244602709","https://openalex.org/W594987446","https://openalex.org/W3105773939"],"abstract_inverted_index":{"Entity-oriented":[0],"search":[1],"systems":[2,113],"often":[3],"learn":[4],"vector":[5,53],"representations":[6,22,34,54],"of":[7,17,55,83,96,137],"entities":[8,56,143],"via":[9],"the":[10,14,18,24,33,93,97,135,138,145,161],"introductory":[11,98],"paragraph":[12,99],"from":[13,58,100,117],"Wikipedia":[15,101],"page":[16],"entity.":[19],"As":[20],"such":[21],"are":[23,35,51],"same":[25],"for":[26,38,67,160],"every":[27],"query,":[28],"our":[29,125,152],"hypothesis":[30],"is":[31,65],"that":[32,60,91,124],"not":[36],"ideal":[37],"IR":[39],"tasks.":[40],"In":[41],"this":[42,148],"work,":[43,149],"we":[44,78,150],"present":[45],"BERT":[46,94,153],"Entity":[47],"Representations":[48],"(BERT-ER)":[49],"which":[50],"query-specific":[52,156],"obtained":[57],"text":[59],"describes":[61],"how":[62],"an":[63],"entity":[64,75,111,115,126,157,162],"relevant":[66,142],"a":[68,73,80,89],"query.":[69],"Using":[70],"BERT-ER":[71,130],"in":[72],"downstream":[74],"ranking":[76,112,127,139,163],"system,":[77],"achieve":[79],"performance":[81],"improvement":[82],"13-42%":[84],"(Mean":[85],"Average":[86],"Precision)":[87],"over":[88],"system":[90,128],"uses":[92],"embedding":[95],"on":[102],"two":[103],"large-scale":[104],"test":[105],"collections.":[106],"Our":[107],"approach":[108],"also":[109],"outperforms":[110],"using":[114,129],"embeddings":[116,158],"Wikipedia2Vec,":[118],"ERNIE,":[119],"and":[120,155],"E-BERT.":[121],"We":[122],"show":[123],"can":[131],"increase":[132],"precision":[133],"at":[134],"top":[136],"by":[140],"promoting":[141],"to":[144],"top.":[146],"With":[147],"release":[151],"models":[154],"fine-tuned":[159],"task.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2022-07-08T00:00:00"}
