{"id":"https://openalex.org/W2912993660","doi":"https://doi.org/10.1145/3308558.3313517","title":"Joint Entity Linking with Deep Reinforcement Learning","display_name":"Joint Entity Linking with Deep Reinforcement Learning","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2912993660","doi":"https://doi.org/10.1145/3308558.3313517","mag":"2912993660"},"language":"en","primary_location":{"id":"doi:10.1145/3308558.3313517","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313517","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3308558.3313517","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101808083","display_name":"Zheng Fang","orcid":"https://orcid.org/0000-0002-3762-754X"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Fang","raw_affiliation_strings":["Institute of Information Engineering, CAS, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, CAS, China","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100627572","display_name":"Yanan Cao","orcid":"https://orcid.org/0000-0003-3534-1094"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Cao","raw_affiliation_strings":["Institute of Information Engineering, CAS, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, CAS, China","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340627","display_name":"Qian Li","orcid":"https://orcid.org/0000-0002-8308-9551"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian Li","raw_affiliation_strings":["University of Technology Sydeney, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydeney, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768208","display_name":"Dongjie Zhang","orcid":"https://orcid.org/0000-0002-2768-9077"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongjie Zhang","raw_affiliation_strings":["Institute of Information Engineering, CAS, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, CAS, China","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389535","display_name":"Zhenyu Zhang","orcid":"https://orcid.org/0000-0002-5936-6678"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Zhang","raw_affiliation_strings":["Institute of Information Engineering, CAS, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, CAS, China","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101651401","display_name":"Yanbing Liu","orcid":"https://orcid.org/0000-0001-8068-8316"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbing Liu","raw_affiliation_strings":["Institute of Information Engineering, CAS, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, CAS, China","institution_ids":["https://openalex.org/I4210156404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.2014,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.99082168,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"438","last_page":"447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.9975000023841858,"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":0.8312835693359375},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7366931438446045},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6956858038902283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6477342247962952},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5998622179031372},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5725533366203308},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.505029022693634},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4904579818248749},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.4609096646308899},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4523833096027374},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.44642212986946106},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4356468617916107},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.4286932349205017},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.42218470573425293},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3700808882713318}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8312835693359375},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7366931438446045},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6956858038902283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6477342247962952},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5998622179031372},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5725533366203308},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.505029022693634},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4904579818248749},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.4609096646308899},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4523833096027374},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.44642212986946106},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4356468617916107},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.4286932349205017},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.42218470573425293},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3700808882713318},{"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3308558.3313517","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313517","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/148510","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/148510","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"doi:10.1145/3308558.3313517","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313517","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G3747641304","display_name":null,"funder_award_id":"2018YFB1004703","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4844680021","display_name":null,"funder_award_id":"2018YFB1004703","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8803712595","display_name":null,"funder_award_id":"61602466","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W11298561","https://openalex.org/W86887328","https://openalex.org/W822806878","https://openalex.org/W1525595230","https://openalex.org/W1541691357","https://openalex.org/W2033478896","https://openalex.org/W2085337304","https://openalex.org/W2100341149","https://openalex.org/W2119717200","https://openalex.org/W2145339207","https://openalex.org/W2151048449","https://openalex.org/W2160424986","https://openalex.org/W2177768736","https://openalex.org/W2230586094","https://openalex.org/W2250539671","https://openalex.org/W2250869925","https://openalex.org/W2251433429","https://openalex.org/W2257979135","https://openalex.org/W2295598076","https://openalex.org/W2337969891","https://openalex.org/W2339832510","https://openalex.org/W2479758238","https://openalex.org/W2483327705","https://openalex.org/W2574433773","https://openalex.org/W2583923862","https://openalex.org/W2594284271","https://openalex.org/W2598684926","https://openalex.org/W2606920173","https://openalex.org/W2607188338","https://openalex.org/W2612773933","https://openalex.org/W2738442461","https://openalex.org/W2739945392","https://openalex.org/W2757369719","https://openalex.org/W2767501021","https://openalex.org/W2785128315","https://openalex.org/W2787068184","https://openalex.org/W2788635322","https://openalex.org/W2798364247","https://openalex.org/W2798752741","https://openalex.org/W2839174743","https://openalex.org/W2897725449","https://openalex.org/W2930957955","https://openalex.org/W2949782549","https://openalex.org/W2951274974","https://openalex.org/W2951525155","https://openalex.org/W2962886429","https://openalex.org/W2963068985","https://openalex.org/W2963609889","https://openalex.org/W2963855739","https://openalex.org/W3102476541","https://openalex.org/W4206070857"],"related_works":["https://openalex.org/W1541691357","https://openalex.org/W2090135255","https://openalex.org/W2168409722","https://openalex.org/W2026505290","https://openalex.org/W2782437235","https://openalex.org/W1993715838","https://openalex.org/W2359088421","https://openalex.org/W2515501281","https://openalex.org/W2181629536","https://openalex.org/W2119465010"],"abstract_inverted_index":{"Entity":[0],"linking":[1,24,123],"is":[2],"the":[3,20,28,46,55,62,68,89,93,103,106,121,148,154,171],"task":[4],"of":[5,43,59,95,105,147,157,169],"aligning":[6],"mentions":[7],"to":[8,26,102],"corresponding":[9],"entities":[10,52,60,72,151],"in":[11,37],"a":[12,125,131,139],"given":[13],"knowledge":[14],"base.":[15],"Previous":[16],"studies":[17],"have":[18],"highlighted":[19],"necessity":[21],"for":[22],"entity":[23],"systems":[25,179],"capture":[27],"global":[29,39,122,140],"coherence.":[30],"However,":[31],"there":[32],"are":[33,80,109],"two":[34],"common":[35],"weaknesses":[36],"previous":[38,113,149],"models.":[40,114],"First,":[41],"most":[42,56],"them":[44],"calculate":[45],"pairwise":[47],"scores":[48],"between":[49],"all":[50],"candidate":[51],"and":[53,87,129,152,180],"select":[54],"relevant":[57],"group":[58],"as":[61,73,75],"final":[63],"result.":[64],"In":[65],"this":[66],"process,":[67],"consistency":[69],"among":[70,77],"wrong":[71],"well":[74],"that":[76,174],"right":[78],"ones":[79],"involved,":[81],"which":[82,99,135],"may":[83],"introduce":[84],"noise":[85],"data":[86],"increase":[88],"model":[90,134,143,176],"complexity.":[91],"Second,":[92],"cues":[94],"previously":[96],"disambiguated":[97],"entities,":[98],"could":[100],"contribute":[101],"disambiguation":[104],"subsequent":[107,161],"mentions,":[108],"usually":[110],"ignored":[111],"by":[112],"To":[115],"address":[116],"these":[117],"problems,":[118],"we":[119],"convert":[120],"into":[124],"sequence":[126],"decision":[127],"problem":[128],"propose":[130],"reinforcement":[132],"learning":[133],"makes":[136,144],"decisions":[137],"from":[138],"perspective.":[141],"Our":[142],"full":[145],"use":[146],"referred":[150],"explores":[153],"long-term":[155],"influence":[156],"current":[158],"selection":[159],"on":[160,166],"decisions.":[162],"We":[163],"conduct":[164],"experiments":[165],"different":[167],"types":[168],"datasets,":[170],"results":[172],"show":[173],"our":[175],"outperforms":[177],"state-of-the-art":[178],"has":[181],"better":[182],"generalization":[183],"performance.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
