{"id":"https://openalex.org/W2564425030","doi":"https://doi.org/10.18653/v1/d16-1144","title":"AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding","display_name":"AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2564425030","doi":"https://doi.org/10.18653/v1/d16-1144","mag":"2564425030"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d16-1144","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1144","pdf_url":"https://www.aclweb.org/anthology/D16-1144.pdf","source":null,"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 2016 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D16-1144.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009408707","display_name":"Xiang Ren","orcid":"https://orcid.org/0000-0001-8655-663X"},"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/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Ren","raw_affiliation_strings":["Computer Science Department, Rensselaer Polytechnic Institute, USA","University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rensselaer Polytechnic Institute, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086704783","display_name":"Wenqi He","orcid":null},"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/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenqi He","raw_affiliation_strings":["Computer Science Department, Rensselaer Polytechnic Institute, USA","University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rensselaer Polytechnic Institute, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101458727","display_name":"Meng Qu","orcid":"https://orcid.org/0000-0003-2961-8413"},"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/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meng Qu","raw_affiliation_strings":["Computer Science Department, Rensselaer Polytechnic Institute, USA","University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rensselaer Polytechnic Institute, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042819803","display_name":"Lifu Huang","orcid":"https://orcid.org/0000-0002-2743-7718"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lifu Huang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103178893","display_name":"Heng Ji","orcid":"https://orcid.org/0000-0002-7954-7994"},"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/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Heng Ji","raw_affiliation_strings":["Computer Science Department, Rensselaer Polytechnic Institute, USA","University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rensselaer Polytechnic Institute, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, 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"},"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/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiawei Han","raw_affiliation_strings":["Computer Science Department, Rensselaer Polytechnic Institute, USA","University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rensselaer Polytechnic Institute, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019539533","https://openalex.org/A5103178893"],"corresponding_institution_ids":["https://openalex.org/I157725225","https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":12.2212,"has_fulltext":true,"cited_by_count":154,"citation_normalized_percentile":{"value":0.99046013,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1369","last_page":"1378"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9998000264167786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9970999956130981,"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":0.7784830927848816},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6767417192459106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33492395281791687}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7784830927848816},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6767417192459106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33492395281791687}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d16-1144","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1144","pdf_url":"https://www.aclweb.org/anthology/D16-1144.pdf","source":null,"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 2016 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d16-1144","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1144","pdf_url":"https://www.aclweb.org/anthology/D16-1144.pdf","source":null,"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 2016 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G1346049954","display_name":null,"funder_award_id":"1U54GM114838","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G1898530342","display_name":"III: Small: Collaborative Research: Conflicts to Harmony: Integrating Massive Data by Trustworthiness Estimation and Truth Discovery","funder_award_id":"1320617","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2294816706","display_name":null,"funder_award_id":"HDTRA1-10-1-0120","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2485806717","display_name":"III-Core:Small: MoveMine: Mining Sophisticated Patterns and Actionable Knowledge from Massive Moving Object Data","funder_award_id":"1017362","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3346663007","display_name":null,"funder_award_id":"grant 1U54GM114838","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G3427823788","display_name":"CAREER:  Cross-Document Cross-Lingual Event Extraction and Tracking","funder_award_id":"1523198","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3911920403","display_name":null,"funder_award_id":"FA8750-13-2-0041","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G4676255631","display_name":"EAGER: CISSDA: A Unified Cyberinfrastructure Framework for Scalable Spatiotemporal Data Analytics","funder_award_id":"1354329","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/G523448137","display_name":null,"funder_award_id":"W911NF-09-2-0053","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G549302064","display_name":"BD2K CONSORTIUM ACTIVITIES","funder_award_id":"5u54gm114838-04","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7561134949","display_name":null,"funder_award_id":"W911NF-09-2-0053","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"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2564425030.pdf","grobid_xml":"https://content.openalex.org/works/W2564425030.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W21006490","https://openalex.org/W638568100","https://openalex.org/W1540764732","https://openalex.org/W1888005072","https://openalex.org/W2004763266","https://openalex.org/W2010187764","https://openalex.org/W2015917093","https://openalex.org/W2016753842","https://openalex.org/W2020278455","https://openalex.org/W2024328138","https://openalex.org/W2096765155","https://openalex.org/W2107598941","https://openalex.org/W2123442489","https://openalex.org/W2132096166","https://openalex.org/W2145658888","https://openalex.org/W2149713870","https://openalex.org/W2149746394","https://openalex.org/W2154851992","https://openalex.org/W2158681777","https://openalex.org/W2165516035","https://openalex.org/W2236405165","https://openalex.org/W2250818300","https://openalex.org/W2251239360","https://openalex.org/W2251264718","https://openalex.org/W2251301402","https://openalex.org/W2283140239","https://openalex.org/W2339912288","https://openalex.org/W2398960405","https://openalex.org/W2406945108","https://openalex.org/W2409706897","https://openalex.org/W2997519153","https://openalex.org/W3104097132","https://openalex.org/W3104717349","https://openalex.org/W3105705953"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2081900870","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Distant":[0],"supervision":[1],"has":[2],"been":[3],"widely":[4],"used":[5],"in":[6,104],"current":[7],"systems":[8],"of":[9,95],"fine-grained":[10],"entity":[11,20,35],"typing":[12],"to":[13,19,46,59,69,81],"automatically":[14],"assign":[15],"categories":[16],"(entity":[17],"types)":[18],"mentions.":[21],"However,":[22],"the":[23,34,55,83,91,96,107],"types":[24],"so":[25],"obtained":[26],"from":[27],"knowledge":[28],"bases":[29],"are":[30],"often":[31],"incorrect":[32],"for":[33,72],"mention's":[36],"local":[37],"context.":[38],"This":[39],"paper":[40],"proposes":[41],"a":[42,65],"novel":[43],"embedding":[44],"method":[45,111],"separately":[47],"model":[48],"\"clean\"":[49],"and":[50,53,74,76,93],"\"noisy\"":[51],"mentions,":[52],"incorporates":[54],"given":[56],"type":[57],"hierarchy":[58],"induce":[60],"loss":[61],"functions.":[62],"We":[63],"formulate":[64],"joint":[66],"optimization":[67],"problem":[68],"learn":[70],"embeddings":[71],"mentions":[73],"typepaths,":[75],"develop":[77],"an":[78,100],"iterative":[79],"algorithm":[80],"solve":[82],"problem.":[84],"Experiments":[85],"on":[86],"three":[87],"public":[88],"datasets":[89],"demonstrate":[90],"effectiveness":[92],"robustness":[94],"proposed":[97],"method,":[98],"with":[99],"average":[101],"15%":[102],"improvement":[103],"accuracy":[105],"over":[106],"next":[108],"best":[109],"compared":[110],"1":[112],".":[113]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":32},{"year":2018,"cited_by_count":22},{"year":2017,"cited_by_count":9}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
