{"id":"https://openalex.org/W2509435444","doi":"https://doi.org/10.18653/v1/k16-1026","title":"Entity Disambiguation by Knowledge and Text Jointly Embedding","display_name":"Entity Disambiguation by Knowledge and Text Jointly Embedding","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2509435444","doi":"https://doi.org/10.18653/v1/k16-1026","mag":"2509435444"},"language":"en","primary_location":{"id":"doi:10.18653/v1/k16-1026","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k16-1026","pdf_url":"https://www.aclweb.org/anthology/K16-1026.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 20th SIGNLL Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/K16-1026.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100410142","display_name":"Wei Fang","orcid":"https://orcid.org/0000-0001-8139-1119"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210129003","display_name":"SYSU-CMU International Joint Research Institute","ror":"https://ror.org/02w30ae27","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129003"]},{"id":"https://openalex.org/I4210129773","display_name":"Institute of Engineering","ror":"https://ror.org/03ny67e60","country_code":"NP","type":"education","lineage":["https://openalex.org/I155028946","https://openalex.org/I4210129773"]}],"countries":["CN","NP"],"is_corresponding":true,"raw_author_name":"Wei Fang","raw_affiliation_strings":["SYSU-CMU Shunde International Joint Research Institute","SYSU-CMU Joint Institute of Engineering,","School of Electronics and Information Technology, Sun Yat-Sen University"],"affiliations":[{"raw_affiliation_string":"SYSU-CMU Shunde International Joint Research Institute","institution_ids":["https://openalex.org/I4210129003","https://openalex.org/I157773358"]},{"raw_affiliation_string":"SYSU-CMU Joint Institute of Engineering,","institution_ids":["https://openalex.org/I4210129773"]},{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-Sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100666291","display_name":"Jianwen Zhang","orcid":"https://orcid.org/0000-0002-7206-6602"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianwen Zhang","raw_affiliation_strings":["Microsoft, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012091596","display_name":"Dilin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dilin Wang","raw_affiliation_strings":["Computer Science, Dartmouth College"],"affiliations":[{"raw_affiliation_string":"Computer Science, Dartmouth College","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665770","display_name":"Zheng Chen","orcid":"https://orcid.org/0000-0001-5252-4752"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Chen","raw_affiliation_strings":["Microsoft, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100351382","display_name":"Ming Li","orcid":"https://orcid.org/0000-0002-1218-2804"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210129003","display_name":"SYSU-CMU International Joint Research Institute","ror":"https://ror.org/02w30ae27","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129003"]},{"id":"https://openalex.org/I4210129773","display_name":"Institute of Engineering","ror":"https://ror.org/03ny67e60","country_code":"NP","type":"education","lineage":["https://openalex.org/I155028946","https://openalex.org/I4210129773"]}],"countries":["CN","NP"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-Sen University","SYSU-CMU Joint Institute of Engineering,","SYSU-CMU Shunde International Joint Research Institute"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-Sen University","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"SYSU-CMU Joint Institute of Engineering,","institution_ids":["https://openalex.org/I4210129773"]},{"raw_affiliation_string":"SYSU-CMU Shunde International Joint Research Institute","institution_ids":["https://openalex.org/I4210129003","https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100410142"],"corresponding_institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210129003","https://openalex.org/I4210129773"],"apc_list":null,"apc_paid":null,"fwci":19.9378,"has_fulltext":true,"cited_by_count":84,"citation_normalized_percentile":{"value":0.99285791,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"260","last_page":"269"},"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":0.9997000098228455,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9983000159263611,"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":0.8000656366348267},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6637594103813171},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.6293780207633972},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5407273173332214},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49736931920051575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4548493027687073},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.12273848056793213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8000656366348267},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6637594103813171},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.6293780207633972},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5407273173332214},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49736931920051575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4548493027687073},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.12273848056793213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/k16-1026","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k16-1026","pdf_url":"https://www.aclweb.org/anthology/K16-1026.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 20th SIGNLL Conference on Computational Natural Language Learning","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/k16-1026","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k16-1026","pdf_url":"https://www.aclweb.org/anthology/K16-1026.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 20th SIGNLL Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2509435444.pdf","grobid_xml":"https://content.openalex.org/works/W2509435444.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W11298561","https://openalex.org/W86887328","https://openalex.org/W1548663377","https://openalex.org/W1614298861","https://openalex.org/W2100341149","https://openalex.org/W2115352105","https://openalex.org/W2123442489","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2131744502","https://openalex.org/W2151048449","https://openalex.org/W2153579005","https://openalex.org/W2157191138","https://openalex.org/W2158028897","https://openalex.org/W2158899491","https://openalex.org/W2187794223","https://openalex.org/W2188437695","https://openalex.org/W2247119764","https://openalex.org/W2250807343","https://openalex.org/W2250869925","https://openalex.org/W2260776682","https://openalex.org/W2283196293","https://openalex.org/W2407669909","https://openalex.org/W2949547296","https://openalex.org/W2950577311","https://openalex.org/W2952230511","https://openalex.org/W2998704965","https://openalex.org/W4285719527","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2183306018","https://openalex.org/W2549990292","https://openalex.org/W2345479200","https://openalex.org/W2951819827","https://openalex.org/W2849310602","https://openalex.org/W3140537242","https://openalex.org/W2485077425","https://openalex.org/W4390279576","https://openalex.org/W2098057544"],"abstract_inverted_index":{"For":[0,49],"most":[1,15],"entity":[2],"disambiguation":[3,114],"systems,":[4],"the":[5,32,95,139,157,188],"secret":[6],"recipes":[7],"are":[8,18,128,190],"feature":[9,136],"representations":[10,56,82],"for":[11,83],"mentions":[12],"and":[13,45,85,92,110,187],"entities,":[14],"of":[16,35,53,62,141,174],"which":[17],"based":[19],"on":[20,118],"Bag-of-Words":[21],"(BoW)":[22],"representations.":[23],"Commonly,":[24],"BoW":[25],"has":[26],"several":[27,142],"drawbacks:":[28],"(1)":[29,124],"It":[30,38],"ignores":[31],"intrinsic":[33],"meaning":[34],"words/entities;":[36],"(2)":[37,145],"often":[39],"results":[40,189],"in":[41,94,152],"high-dimension":[42],"vector":[43,81,97],"spaces":[44],"expensive":[46],"computation;":[47],"(3)":[48,163],"different":[50,72],"applications,":[51],"methods":[52],"designing":[54],"handcrafted":[55],"may":[57],"be":[58],"quite":[59],"different,":[60],"lacking":[61],"a":[63,71,112,132,153],"general":[64],"guideline.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69,100],"propose":[70],"approach":[73],"named":[74],"EDKate.":[75],"We":[76,180],"first":[77],"learn":[78],"low-dimensional":[79],"continuous":[80],"entities":[84],"words":[86],"by":[87],"jointly":[88],"embedding":[89,166,177],"knowledge":[90],"base":[91],"text":[93],"same":[96],"space.":[98],"Then":[99],"utilize":[101],"these":[102],"embeddings":[103],"to":[104],"design":[105],"simple":[106],"but":[107],"effective":[108],"features":[109,127],"build":[111],"two-layer":[113],"model.":[115],"Extensive":[116],"experiments":[117],"real-world":[119],"data":[120],"sets":[121],"show":[122],"that":[123],"The":[125,146,164],"embedding-based":[126,135],"very":[129],"effective.":[130],"Even":[131],"single":[133],"one":[134],"can":[137],"beat":[138],"combination":[140],"BoW-based":[143],"features.":[144],"superiority":[147],"is":[148,168],"even":[149],"more":[150],"promising":[151],"difficult":[154],"set":[155],"where":[156],"mention-entity":[158],"prior":[159],"cannot":[160],"work":[161],"well.":[162],"proposed":[165],"method":[167],"much":[169],"better":[170],"than":[171],"trivial":[172],"implementations":[173],"some":[175],"off-the-shelf":[176],"algorithms.":[178],"(4)":[179],"compared":[181],"our":[182],"EDKate":[183],"with":[184],"existing":[185],"methods/systems":[186],"also":[191],"positive.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-07T13:37:22.277990","created_date":"2025-10-10T00:00:00"}
