{"id":"https://openalex.org/W3204085121","doi":"https://doi.org/10.1109/tkde.2021.3117715","title":"Entity Linking Meets Deep Learning: Techniques and Solutions","display_name":"Entity Linking Meets Deep Learning: Techniques and Solutions","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3204085121","doi":"https://doi.org/10.1109/tkde.2021.3117715","mag":"3204085121"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3117715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3117715","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","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/A5101956272","display_name":"Wei Shen","orcid":"https://orcid.org/0000-0003-3479-1165"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Shen","raw_affiliation_strings":["College of Computer Science, Nankai University, 12538 Tianjin, Tianjin, China, (e-mail: weishen09@gmail.com)","[College of Computer Science, Nankai University, 12538 Tianjin, Tianjin China (e-mail: weishen09@gmail.com)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University, 12538 Tianjin, Tianjin, China, (e-mail: weishen09@gmail.com)","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"[College of Computer Science, Nankai University, 12538 Tianjin, Tianjin China (e-mail: weishen09@gmail.com)]","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332402","display_name":"Yuhan Li","orcid":"https://orcid.org/0000-0003-1324-5819"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Li","raw_affiliation_strings":["College of Computer Science, Nankai University, 12538 Tianjin, Tianjin, China, (e-mail: yuhanli@mail.nankai.edu.cn)","[College of Computer Science, Nankai University, 12538 Tianjin, Tianjin, China, (e-mail: yuhanli@mail.nankai.edu.cn)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University, 12538 Tianjin, Tianjin, China, (e-mail: yuhanli@mail.nankai.edu.cn)","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"[College of Computer Science, Nankai University, 12538 Tianjin, Tianjin, China, (e-mail: yuhanli@mail.nankai.edu.cn)]","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100684072","display_name":"Yinan Liu","orcid":"https://orcid.org/0000-0003-3291-4459"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinan Liu","raw_affiliation_strings":["College of Computer Science, Nankai University, 12538 Tianjin, Tianjin, China, (e-mail: liuyn@mail.nankai.edu.cn)","[College of Computer Science, Nankai University, 12538 Tianjin, Tianjin China (e-mail: liuyn@mail.nankai.edu.cn)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University, 12538 Tianjin, Tianjin, China, (e-mail: liuyn@mail.nankai.edu.cn)","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"[College of Computer Science, Nankai University, 12538 Tianjin, Tianjin China (e-mail: liuyn@mail.nankai.edu.cn)]","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Han","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Urbana-Champaign, 14589 Urbana, Illinois, United States, (e-mail: hanj@illinois.edu)","[Department of Computer Science, University of Illinois at Urbana-Champaign, 14589 Urbana, Illinois, United States, (e-mail: hanj@illinois.edu)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana-Champaign, 14589 Urbana, Illinois, United States, (e-mail: hanj@illinois.edu)","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"[Department of Computer Science, University of Illinois at Urbana-Champaign, 14589 Urbana, Illinois, United States, (e-mail: hanj@illinois.edu)]","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630868","display_name":"Jianyong Wang","orcid":"https://orcid.org/0000-0002-7555-170X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyong Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, 12442 Beijing, Beijing, China, (e-mail: jianyong@tsinghua.edu.cn)","[Department of Computer Science and Technology, Tsinghua University, 12442 Beijing, Beijing, China, (e-mail: jianyong@tsinghua.edu.cn)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, 12442 Beijing, Beijing, China, (e-mail: jianyong@tsinghua.edu.cn)","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Department of Computer Science and Technology, Tsinghua University, 12442 Beijing, Beijing, China, (e-mail: jianyong@tsinghua.edu.cn)]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062064974","display_name":"Xiaojie Yuan","orcid":"https://orcid.org/0000-0002-5876-6856"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Yuan","raw_affiliation_strings":["College of Computer Science, Nankai University, 12538 Tianjin, Tianjin, China, (e-mail: yuanxj@nankai.edu.cn)","[College of Computer Science, Nankai University, 12538 Tianjin, Tianjin, China, (e-mail: yuanxj@nankai.edu.cn)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University, 12538 Tianjin, Tianjin, China, (e-mail: yuanxj@nankai.edu.cn)","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"[College of Computer Science, Nankai University, 12538 Tianjin, Tianjin, China, (e-mail: yuanxj@nankai.edu.cn)]","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.3174,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.96333371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9986000061035156,"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/T11719","display_name":"Data Quality and Management","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8202458620071411},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.6099836826324463},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.5599048733711243},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5516676306724548},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5499207973480225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5236780047416687},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5007169246673584},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4963997006416321},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42682433128356934},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4263906478881836},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4231216311454773},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4203816056251526},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4196702539920807},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.41174525022506714},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3851519823074341},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3582684397697449},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35649919509887695}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8202458620071411},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.6099836826324463},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.5599048733711243},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5516676306724548},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5499207973480225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5236780047416687},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5007169246673584},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4963997006416321},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42682433128356934},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4263906478881836},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4231216311454773},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4203816056251526},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4196702539920807},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.41174525022506714},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3851519823074341},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3582684397697449},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35649919509887695},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2021.3117715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3117715","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2425581762","display_name":"\u5927\u89c4\u6a21\u5173\u8054\u6570\u636e\u7ba1\u7406\u7684\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61532010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5598781049","display_name":null,"funder_award_id":"19JCQNJC00100","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"},{"id":"https://openalex.org/G5811738602","display_name":null,"funder_award_id":"U1936206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G797295151","display_name":null,"funder_award_id":"61521002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8132138876","display_name":"\u6587\u4ef6\u6d41\u578b\u5927\u6570\u636e\u7684\u5206\u6790\u6a21\u578b\u6784\u5efa\u4e0e\u77e5\u8bc6\u53d1\u73b0\u7814\u7a76","funder_award_id":"61772289","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":131,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W822806878","https://openalex.org/W1613249581","https://openalex.org/W1824813476","https://openalex.org/W1964189668","https://openalex.org/W1988157164","https://openalex.org/W1993715838","https://openalex.org/W2005508116","https://openalex.org/W2022166150","https://openalex.org/W2025768430","https://openalex.org/W2054745418","https://openalex.org/W2064675550","https://openalex.org/W2094728533","https://openalex.org/W2100341149","https://openalex.org/W2105482032","https://openalex.org/W2107726111","https://openalex.org/W2112796928","https://openalex.org/W2116235440","https://openalex.org/W2137489006","https://openalex.org/W2138605095","https://openalex.org/W2150822694","https://openalex.org/W2153137749","https://openalex.org/W2154851992","https://openalex.org/W2157331557","https://openalex.org/W2162362997","https://openalex.org/W2250539671","https://openalex.org/W2251771443","https://openalex.org/W2296283641","https://openalex.org/W2337969891","https://openalex.org/W2339832510","https://openalex.org/W2340354588","https://openalex.org/W2398606196","https://openalex.org/W2438788298","https://openalex.org/W2479758238","https://openalex.org/W2509435444","https://openalex.org/W2515462165","https://openalex.org/W2594284271","https://openalex.org/W2602998732","https://openalex.org/W2605035112","https://openalex.org/W2606920173","https://openalex.org/W2612773933","https://openalex.org/W2618530766","https://openalex.org/W2736776866","https://openalex.org/W2739945392","https://openalex.org/W2757369719","https://openalex.org/W2767501021","https://openalex.org/W2771873754","https://openalex.org/W2785888191","https://openalex.org/W2786808285","https://openalex.org/W2798649495","https://openalex.org/W2798832674","https://openalex.org/W2888236192","https://openalex.org/W2889738741","https://openalex.org/W2912993660","https://openalex.org/W2945214661","https://openalex.org/W2949964925","https://openalex.org/W2951559648","https://openalex.org/W2952230511","https://openalex.org/W2952490462","https://openalex.org/W2952826391","https://openalex.org/W2962739339","https://openalex.org/W2963085936","https://openalex.org/W2963184844","https://openalex.org/W2963633290","https://openalex.org/W2963691861","https://openalex.org/W2963855739","https://openalex.org/W2963863453","https://openalex.org/W2964351784","https://openalex.org/W2964400841","https://openalex.org/W2965373594","https://openalex.org/W2968257571","https://openalex.org/W2970671085","https://openalex.org/W2984147501","https://openalex.org/W2987249037","https://openalex.org/W2996857645","https://openalex.org/W2997110185","https://openalex.org/W3004185181","https://openalex.org/W3004900685","https://openalex.org/W3011411500","https://openalex.org/W3011594683","https://openalex.org/W3012572520","https://openalex.org/W3012892971","https://openalex.org/W3013778764","https://openalex.org/W3014318675","https://openalex.org/W3016001968","https://openalex.org/W3032553678","https://openalex.org/W3033919759","https://openalex.org/W3035526303","https://openalex.org/W3098350697","https://openalex.org/W3102559088","https://openalex.org/W3104097132","https://openalex.org/W3104616515","https://openalex.org/W3104748221","https://openalex.org/W3105093672","https://openalex.org/W3112302290","https://openalex.org/W3137499697","https://openalex.org/W3141830881","https://openalex.org/W3154732937","https://openalex.org/W3156333129","https://openalex.org/W3173412973","https://openalex.org/W3173423412","https://openalex.org/W3176314121","https://openalex.org/W4292779060","https://openalex.org/W6600479677","https://openalex.org/W6603544577","https://openalex.org/W6623178873","https://openalex.org/W6636510571","https://openalex.org/W6677895631","https://openalex.org/W6678830454","https://openalex.org/W6680623264","https://openalex.org/W6681045971","https://openalex.org/W6682141183","https://openalex.org/W6682691769","https://openalex.org/W6682889407","https://openalex.org/W6683738474","https://openalex.org/W6691459498","https://openalex.org/W6691467577","https://openalex.org/W6691660104","https://openalex.org/W6692591614","https://openalex.org/W6713548177","https://openalex.org/W6713723429","https://openalex.org/W6714112401","https://openalex.org/W6726873649","https://openalex.org/W6731926813","https://openalex.org/W6739901393","https://openalex.org/W6752795476","https://openalex.org/W6763701032","https://openalex.org/W6766673545","https://openalex.org/W6766780047","https://openalex.org/W6775558341","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W842810586","https://openalex.org/W4319940250","https://openalex.org/W2352298027","https://openalex.org/W2092919065","https://openalex.org/W3138801416","https://openalex.org/W4236762297","https://openalex.org/W2444550338","https://openalex.org/W2369351710","https://openalex.org/W2594363579","https://openalex.org/W2169232658"],"abstract_inverted_index":{"Entity":[0],"linking":[1,7],"(EL)":[2],"is":[3],"the":[4,28,84,129,134,138,167],"process":[5],"of":[6,30,39,97,104,137,155,170],"entity":[8],"mentions":[9],"appearing":[10],"in":[11,18,27,65,72],"web":[12],"text":[13],"with":[14],"their":[15],"corresponding":[16],"entities":[17],"a":[19,37,92,108,151],"knowledge":[20,31,44],"base.":[21],"EL":[22,73,101,116,131,146,158],"plays":[23],"an":[24],"important":[25],"role":[26],"fields":[29],"engineering":[32],"and":[33,51,82,95,123,149,173],"data":[34,147,162],"mining,":[35],"underlying":[36],"variety":[38],"downstream":[40],"applications":[41],"such":[42],"as":[43],"base":[45],"population,":[46],"content":[47],"analysis,":[48],"relation":[49],"extraction,":[50],"question":[52],"answering.":[53],"In":[54,87],"recent":[55],"years,":[56],"deep":[57],"learning":[58,79],"(DL),":[59],"which":[60,111],"has":[61,68],"achieved":[62],"tremendous":[63],"success":[64],"various":[66],"domains,":[67],"also":[69],"been":[70],"leveraged":[71],"methods":[74,81,117,132,159,172],"to":[75],"surpass":[76],"traditional":[77],"machine":[78],"based":[80,100,115,157],"yield":[83],"state-of-the-art":[85],"performance.":[86],"this":[88],"survey,":[89],"we":[90,106,126,141,165],"present":[91],"comprehensive":[93],"review":[94],"analysis":[96,154],"existing":[98,113,171],"DL":[99,114,156],"methods.":[102],"First":[103],"all,":[105],"propose":[107],"new":[109],"taxonomy,":[110],"organizes":[112],"using":[118],"three":[119,135],"axes:":[120],"embedding,":[121],"feature,":[122],"algorithm.":[124],"Then":[125],"systematically":[127],"survey":[128],"representative":[130],"along":[133],"axes":[136],"taxonomy.":[139],"Later,":[140],"introduce":[142],"ten":[143],"commonly":[144],"used":[145],"sets":[148],"give":[150],"quantitative":[152],"performance":[153],"over":[160],"these":[161],"sets.":[163],"Finally,":[164],"discuss":[166],"remaining":[168],"limitations":[169],"highlight":[174],"some":[175],"promising":[176],"future":[177],"directions.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":12}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
