{"id":"https://openalex.org/W3131688734","doi":"https://doi.org/10.1109/tkde.2021.3060790","title":"Towards One-Size-Fits-Many: Multi-Context Attention Network for Diversity of Entity Resolution Tasks","display_name":"Towards One-Size-Fits-Many: Multi-Context Attention Network for Diversity of Entity Resolution Tasks","publication_year":2021,"publication_date":"2021-02-22","ids":{"openalex":"https://openalex.org/W3131688734","doi":"https://doi.org/10.1109/tkde.2021.3060790","mag":"3131688734"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3060790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3060790","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/A5011200911","display_name":"Dongxiang Zhang","orcid":"https://orcid.org/0000-0002-9964-2470"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongxiang Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102876497","display_name":"Hanhao Li","orcid":"https://orcid.org/0000-0002-5105-4004"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zepeng Li","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456913","display_name":"Xiaoli Wang","orcid":"https://orcid.org/0000-0002-8677-9080"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Wang","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077593594","display_name":"Kian\u2010Lee Tan","orcid":"https://orcid.org/0000-0001-9315-4057"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kian-Lee Tan","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100389286","display_name":"Gang Chen","orcid":"https://orcid.org/0000-0002-7483-0045"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011200911"],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":null,"apc_paid":null,"fwci":0.3486,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60143161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"34","issue":"12","first_page":"6018","last_page":"6032"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9919999837875366,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9905999898910522,"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":0.887833833694458},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.8002912998199463},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6256623268127441},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5622527599334717},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5127209424972534},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4965987801551819},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.45595884323120117},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4505411684513092},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4438857436180115},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3977711796760559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3713761568069458},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35099339485168457},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33493244647979736}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.887833833694458},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.8002912998199463},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6256623268127441},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5622527599334717},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5127209424972534},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4965987801551819},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.45595884323120117},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4505411684513092},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4438857436180115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3977711796760559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3713761568069458},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35099339485168457},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33493244647979736},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2021.3060790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3060790","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":[],"awards":[{"id":"https://openalex.org/G1547655377","display_name":null,"funder_award_id":"61672455","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2778051744","display_name":null,"funder_award_id":"61702432","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6488468258","display_name":null,"funder_award_id":"T1251RES1913","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"}],"funders":[{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1761401273","https://openalex.org/W1902237438","https://openalex.org/W1959608418","https://openalex.org/W1981590391","https://openalex.org/W2052581258","https://openalex.org/W2064675550","https://openalex.org/W2067566391","https://openalex.org/W2121955477","https://openalex.org/W2135223301","https://openalex.org/W2150698190","https://openalex.org/W2157331557","https://openalex.org/W2164456230","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2213726222","https://openalex.org/W2228002889","https://openalex.org/W2250539671","https://openalex.org/W2399361902","https://openalex.org/W2413794162","https://openalex.org/W2493916176","https://openalex.org/W2539377436","https://openalex.org/W2597655663","https://openalex.org/W2741206673","https://openalex.org/W2794573079","https://openalex.org/W2795016801","https://openalex.org/W2798649495","https://openalex.org/W2807957939","https://openalex.org/W2808113502","https://openalex.org/W2885311373","https://openalex.org/W2888539709","https://openalex.org/W2893235790","https://openalex.org/W2896457183","https://openalex.org/W2904132824","https://openalex.org/W2905122540","https://openalex.org/W2912891989","https://openalex.org/W2946504770","https://openalex.org/W2948383821","https://openalex.org/W2963901085","https://openalex.org/W2966720878","https://openalex.org/W2977340052","https://openalex.org/W2981393440","https://openalex.org/W2981576453","https://openalex.org/W2985009327","https://openalex.org/W2990827756","https://openalex.org/W3010144884","https://openalex.org/W3011807731","https://openalex.org/W3012733951","https://openalex.org/W3014705052","https://openalex.org/W3021217443","https://openalex.org/W3034580371","https://openalex.org/W3034997167","https://openalex.org/W3123375411","https://openalex.org/W3146259567","https://openalex.org/W4294170691","https://openalex.org/W4295719664","https://openalex.org/W4385245566","https://openalex.org/W6636510571","https://openalex.org/W6637701140","https://openalex.org/W6640963894","https://openalex.org/W6682056454","https://openalex.org/W6682691769","https://openalex.org/W6735377749","https://openalex.org/W6739901393","https://openalex.org/W6745935785","https://openalex.org/W6753278433","https://openalex.org/W6755207826","https://openalex.org/W6774394432","https://openalex.org/W6780493881"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W4381094582","https://openalex.org/W1978893398","https://openalex.org/W1977906818","https://openalex.org/W2201908702","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W1522139108","https://openalex.org/W2353528968","https://openalex.org/W17155033"],"abstract_inverted_index":{"Entity":[0],"resolution":[1],"(ER)":[2],"identifies":[3],"data":[4],"instances":[5],"referring":[6],"to":[7,45,58,68,73,128,134],"the":[8,23,43,88,95,171],"same":[9],"real-world":[10],"entity":[11,147],"and":[12,54,115,155,163,173],"has":[13],"received":[14],"enormous":[15],"research":[16],"attention.":[17],"In":[18,100],"this":[19,65],"paper,":[20],"we":[21,85,102],"examine":[22],"task":[24],"of":[25,91,97,120,146,175],"ER":[26,78],"from":[27,35,117],"a":[28,143],"broader":[29],"perspective,":[30],"with":[31,80,180],"its":[32],"input":[33,82,98],"extended":[34,127],"textual":[36,157],"records,":[37,158],"which":[38],"are":[39],"conventionally":[40],"studied":[41],"in":[42,64,132,183],"literature,":[44],"other":[46],"modalities":[47],"such":[48],"as":[49],"check-in":[50,159],"sequences,":[51,160],"GPS":[52,161],"trajectories":[53,162],"surveillance":[55,164],"video":[56,165],"frames":[57],"generate":[59],"new":[60],"applications.":[61],"Our":[62],"goal":[63],"paper":[66],"is":[67],"design":[69],"an":[70,104],"effective":[71],"model":[72,187],"uniformly":[74],"support":[75,135],"all":[76],"these":[77,184],"applications":[79],"different":[81],"formats.":[83],"Technically,":[84],"fully":[86],"exploit":[87],"semantic":[89],"contexts":[90],"embedding":[92],"vectors":[93],"for":[94],"pair":[96],"instances.":[99],"particular,":[101],"propose":[103],"integrated":[105],"multi-context":[106],"attention":[107,131],"framework":[108],"that":[109],"takes":[110],"into":[111],"account":[112],"self-attention,":[113],"pair-attention":[114],"global-attention":[116],"three":[118],"types":[119],"context.":[121],"The":[122,167],"idea":[123],"can":[124,188],"be":[125],"further":[126],"incorporate":[129],"attribute":[130],"order":[133],"structured":[136,154],"datasets.":[137],"We":[138],"conduct":[139],"extensive":[140],"experiments":[141],"on":[142,152],"diverse":[144],"class":[145],"resolutions":[148],"tasks,":[149],"including":[150],"tasks":[151],"unstructured,":[153],"dirty":[156],"frames.":[166],"experimental":[168],"results":[169],"verified":[170],"effectiveness":[172],"generality":[174],"our":[176,186],"model.":[177],"When":[178],"compared":[179],"strong":[181],"baselines":[182],"applications,":[185],"achieve":[189],"superior":[190],"or":[191],"comparative":[192],"performance.":[193]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
