{"id":"https://openalex.org/W3035458998","doi":"https://doi.org/10.18653/v1/2020.acl-main.725","title":"Empower Entity Set Expansion via Language Model Probing","display_name":"Empower Entity Set Expansion via Language Model Probing","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3035458998","doi":"https://doi.org/10.18653/v1/2020.acl-main.725","mag":"3035458998"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2020.acl-main.725","doi":"https://doi.org/10.18653/v1/2020.acl-main.725","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.acl-main.725","pdf_url":"https://www.aclweb.org/anthology/2020.acl-main.725.pdf","source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.aclweb.org/anthology/2020.acl-main.725.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086509214","display_name":"Yunyi Zhang","orcid":"https://orcid.org/0000-0003-2863-5529","observed_orcids":["https://orcid.org/0000-0003-2863-5529"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunyi Zhang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041327449","display_name":"Jiaming Shen","orcid":"https://orcid.org/0000-0002-0467-4956","observed_orcids":["https://orcid.org/0000-0002-0467-4956","https://orcid.org/0009-0000-8325-1347"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaming Shen","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039500313","display_name":"Jingbo Shang","orcid":"https://orcid.org/0000-0002-7249-4404","observed_orcids":["https://orcid.org/0000-0002-7249-4404"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingbo Shang","raw_affiliation_strings":["University of California San Diego, CA, USA","University of Illinois at Urbana-Champaign, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019539533","display_name":"Jiawei Han","orcid":"https://orcid.org/0000-0002-3629-2696","observed_orcids":["https://orcid.org/0000-0002-3629-2696"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Han","raw_affiliation_strings":["University of Illinois at Urbana-Champaign , IL , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign , IL , USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0244,"has_fulltext":true,"cited_by_count":56,"citation_normalized_percentile":{"value":0.93209135,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"8151","last_page":"8160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9922000169754028,"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":0.9922000169754028,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.0027000000700354576,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.0017000000225380063,"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/semantic-drift","display_name":"semantic drift","score":0.7429999709129333},{"id":"https://openalex.org/keywords/entity-classification","display_name":"entity classification","score":0.3149999976158142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.858890175819397},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.7246461510658264},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.665523886680603},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6165469884872437},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5767983198165894},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5645580291748047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5521763563156128},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.5342682003974915},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.512171745300293},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.46774962544441223},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41534435749053955},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.12413045763969421},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1225976049900055},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/2020.acl-main.725","doi":"https://doi.org/10.18653/v1/2020.acl-main.725","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.acl-main.725","pdf_url":"https://www.aclweb.org/anthology/2020.acl-main.725.pdf","source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.13897","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.13897","pdf_url":"https://arxiv.org/pdf/2004.13897","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:www.ideals.illinois.edu:2142/113067","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2142/113067","pdf_url":"https://www.ideals.illinois.edu/items/120993/bitstreams/396834/data.pdf","source":{"id":"https://openalex.org/S4306401358","display_name":"Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801919071","host_organization_name":"University of Illinois System","host_organization_lineage":["https://openalex.org/I2801919071"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"doi:10.48550/arxiv.2004.13897","doi":"https://doi.org/10.48550/arxiv.2004.13897","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2004.13897","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/2020.acl-main.725","doi":"https://doi.org/10.18653/v1/2020.acl-main.725","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.acl-main.725","pdf_url":"https://www.aclweb.org/anthology/2020.acl-main.725.pdf","source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1198008555","display_name":null,"funder_award_id":"W911NF- 17-C-0099","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G1472423617","display_name":null,"funder_award_id":"FA8750-19-2-1004","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G2063335192","display_name":"Molecule Maker Lab Institute (MMLI): An AI Institute for Molecular Discovery, Synthetic Strategy, and Manufacturing","funder_award_id":"2019897","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2078291062","display_name":"III: Small: Multi-Dimensional Structuring, Summarizing and Mining of Social Media Data","funder_award_id":"1618481","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4713059963","display_name":null,"funder_award_id":"FA8750","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G7572638711","display_name":"BIGDATA: F: Collaborative Research: Taming Big Networks via Embedding","funder_award_id":"1741317","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8175839138","display_name":null,"funder_award_id":"No. W911NF-17-C-0099","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332186","display_name":"Defense Threat Reduction Agency","ror":"https://ror.org/04tz64554"},{"id":"https://openalex.org/F4320332222","display_name":"University of Illinois at Urbana-Champaign","ror":"https://ror.org/047426m28"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3035458998.pdf","grobid_xml":"https://content.openalex.org/works/W3035458998.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1975497117","https://openalex.org/W2009510620","https://openalex.org/W2068737686","https://openalex.org/W2103296194","https://openalex.org/W2104987630","https://openalex.org/W2117510361","https://openalex.org/W2188138540","https://openalex.org/W2250727976","https://openalex.org/W2284650288","https://openalex.org/W2295058825","https://openalex.org/W2404527150","https://openalex.org/W2593560537","https://openalex.org/W2604165577","https://openalex.org/W2626778328","https://openalex.org/W2777203405","https://openalex.org/W2787560479","https://openalex.org/W2798943914","https://openalex.org/W2809189384","https://openalex.org/W2889454965","https://openalex.org/W2896457183","https://openalex.org/W2949765915","https://openalex.org/W2950813464","https://openalex.org/W2962762512","https://openalex.org/W2963341956","https://openalex.org/W2965373594","https://openalex.org/W2970427399","https://openalex.org/W2970476646","https://openalex.org/W2971869958","https://openalex.org/W2973506718","https://openalex.org/W2980384207","https://openalex.org/W2998557616","https://openalex.org/W3004011066","https://openalex.org/W3134710324"],"related_works":["https://openalex.org/W2777203405","https://openalex.org/W2970427399","https://openalex.org/W4224240992","https://openalex.org/W4403577459","https://openalex.org/W4221149714","https://openalex.org/W2117510361","https://openalex.org/W4365397912","https://openalex.org/W2142984157","https://openalex.org/W3098408261","https://openalex.org/W3004011066"],"abstract_inverted_index":{"Entity":[0],"set":[1,10,41,48,62,92],"expansion,":[2],"aiming":[3],"at":[4],"expanding":[5],"a":[6,21,89,120],"small":[7],"seed":[8,46],"entity":[9,47,61,129],"with":[11],"new":[12,56],"entities":[13],"belonging":[14],"to":[15,65,79,101],"the":[16,45,74,103],"same":[17],"semantic":[18,104],"class,":[19],"is":[20,64],"critical":[22],"task":[23],"that":[24,95,139],"benefits":[25],"many":[26],"downstream":[27],"NLP":[28],"and":[29,38,54,77,113,124,146],"IR":[30],"applications,":[31],"such":[32],"as":[33],"question":[34],"answering,":[35],"query":[36],"understanding,":[37],"taxonomy":[39],"construction.Existing":[40],"expansion":[42,63,93],"methods":[43,150],"bootstrap":[44],"by":[49,118],"adaptively":[50],"selecting":[51,67],"context":[52,69],"features":[53,70],"extracting":[55],"entities.A":[57],"key":[58],"challenge":[59],"for":[60],"avoid":[66],"ambiguous":[68],"which":[71],"will":[72],"shift":[73],"class":[75,99,116,133,144],"semantics":[76],"lead":[78],"accumulative":[80],"errors":[81],"in":[82],"later":[83],"iterations.In":[84],"this":[85],"study,":[86],"we":[87,109],"propose":[88],"novel":[90],"iterative":[91],"framework":[94,141],"leverages":[96],"automatically":[97],"generated":[98],"names":[100,117,145],"address":[102],"drift":[105],"issue.In":[106],"each":[107,127],"iteration,":[108],"select":[110],"one":[111],"positive":[112],"several":[114],"negative":[115],"probing":[119],"pre-trained":[121],"language":[122],"model,":[123],"further":[125],"score":[126],"candidate":[128],"based":[130],"on":[131,135],"selected":[132],"names.Experiments":[134],"two":[136],"datasets":[137],"show":[138],"our":[140],"generates":[142],"high-quality":[143],"outperforms":[147],"previous":[148],"state-of-the-art":[149],"significantly.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2020-06-19T00:00:00"}
