{"id":"https://openalex.org/W2145124624","doi":"https://doi.org/10.1145/2509558.2509570","title":"A joint model for discovering and linking entities","display_name":"A joint model for discovering and linking entities","publication_year":2013,"publication_date":"2013-10-27","ids":{"openalex":"https://openalex.org/W2145124624","doi":"https://doi.org/10.1145/2509558.2509570","mag":"2145124624"},"language":"en","primary_location":{"id":"doi:10.1145/2509558.2509570","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2509558.2509570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 workshop on Automated knowledge base construction","raw_type":"proceedings-article"},"type":"conference-paper","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/A5058514754","display_name":"Michael Wick","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Wick","raw_affiliation_strings":["University of Massachusetts, Amherst, MA, USA","University of Massachusetts, Amherst, MA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University of Massachusetts, Amherst, MA, USA#TAB#","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005779128","display_name":"Sameer Singh","orcid":"https://orcid.org/0000-0003-0621-6323"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sameer Singh","raw_affiliation_strings":["University of Massachusetts, Amherst, MA, USA","University of Massachusetts, Amherst, MA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University of Massachusetts, Amherst, MA, USA#TAB#","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052838230","display_name":"Harshal Pandya","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harshal Pandya","raw_affiliation_strings":["University of Massachusetts, Amherst, MA, USA","University of Massachusetts, Amherst, MA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University of Massachusetts, Amherst, MA, USA#TAB#","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008354502","display_name":"Andrew McCallum","orcid":"https://orcid.org/0000-0003-2843-6992"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew McCallum","raw_affiliation_strings":["University of Massachusetts, Amherst, MA, USA","University of Massachusetts, Amherst, MA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University of Massachusetts, Amherst, MA, USA#TAB#","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":3.8152,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.94131868,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":1.0,"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":1.0,"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":0.995199978351593,"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":0.9883000254631042,"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/coreference","display_name":"Coreference","score":0.9331583380699158},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8798837065696716},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.6891437768936157},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6815382242202759},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6760123372077942},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.6412528157234192},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5911888480186462},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5479861497879028},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5107390880584717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.499009370803833},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.49422481656074524},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4736679196357727},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.424709290266037},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41114944219589233},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4106614291667938},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3759313225746155},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15806633234024048},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12828972935676575}],"concepts":[{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.9331583380699158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8798837065696716},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.6891437768936157},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6815382242202759},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6760123372077942},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.6412528157234192},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5911888480186462},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5479861497879028},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5107390880584717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.499009370803833},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.49422481656074524},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4736679196357727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.424709290266037},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41114944219589233},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4106614291667938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3759313225746155},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15806633234024048},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12828972935676575},{"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2509558.2509570","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2509558.2509570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 workshop on Automated knowledge base construction","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.465.49","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.465.49","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://openreview.net/file/5afaeb02-02fb-40c5-b610-604bc0ba8935.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.651.2448","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.651.2448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://maroo.cs.umass.edu/pub/web/getpdf.php?id=1129","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W191584165","https://openalex.org/W1943251102","https://openalex.org/W2036216970","https://openalex.org/W2096742765","https://openalex.org/W2099982145","https://openalex.org/W2109215439","https://openalex.org/W2111116800","https://openalex.org/W2131357087","https://openalex.org/W2151048449","https://openalex.org/W2409706897","https://openalex.org/W4234053595","https://openalex.org/W4235019056"],"related_works":["https://openalex.org/W2402725029","https://openalex.org/W2359367771","https://openalex.org/W2964120642","https://openalex.org/W4287018705","https://openalex.org/W2580855974","https://openalex.org/W1541691357","https://openalex.org/W2090135255","https://openalex.org/W4377865006","https://openalex.org/W2168409722","https://openalex.org/W2782437235"],"abstract_inverted_index":{"Entity":[0],"resolution,":[1],"the":[2,11,36,48,54,71,76,109,130,176,193],"task":[3,78],"of":[4,19,56,79,84,90,132,195],"automatically":[5],"determining":[6],"which":[7,179],"mentions":[8,85],"refer":[9],"to":[10,86,120,146],"same":[12],"real-world":[13],"entity,":[14],"is":[15,32,118,180,202],"a":[16,82,87,99,139,154,166],"crucial":[17],"aspect":[18],"knowledge":[20],"base":[21],"construction":[22],"and":[23,46,93,123,136,163,197],"management.":[24],"However,":[25,111],"performing":[26,64,95],"entity":[27,96,141,161],"resolution":[28,142],"at":[29,66],"large":[30],"scales":[31,68],"challenging":[33],"because":[34],"(1)":[35,152],"inference":[37,169],"algorithms":[38],"must":[39],"cope":[40],"with":[41],"unavoidable":[42],"system":[43],"scalability":[44,150],"issues":[45],"(2)":[47,164],"search":[49],"space":[50],"grows":[51],"exponentially":[52],"in":[53,108,182],"number":[55],"mentions.":[57],"Current":[58],"conventional":[59],"wisdom":[60],"has":[61],"been":[62],"that":[63,114,156,171,187,199],"coreference":[65,125,201],"these":[67],"requires":[69],"decomposing":[70],"problem":[72],"by":[73,211],"first":[74],"solving":[75],"simpler":[77],"entity-linking":[80,122,135],"(matching":[81],"set":[83,89],"known":[88],"KB":[91],"entities),":[92],"then":[94],"discovery":[97],"as":[98,138],"post-processing":[100],"step":[101],"(to":[102],"identify":[103],"new":[104],"entities":[105],"not":[106,173],"present":[107,153],"KB).":[110],"we":[112,128,151],"argue":[113],"this":[115],"traditional":[116,207],"approach":[117],"harmful":[119],"both":[121],"overall":[124],"accuracy.":[126],"Therefore,":[127],"embrace":[129],"challenge":[131],"jointly":[133],"modeling":[134],"entity-discovery":[137],"single":[140],"problem.":[143],"In":[144],"order":[145],"make":[147],"progress":[148],"towards":[149],"model":[155],"reasons":[157],"over":[158],"compact":[159],"hierarchical":[160],"representations,":[162],"propose":[165],"novel":[167],"distributed":[168],"architecture":[170],"does":[172],"suffer":[174],"from":[175],"synchronicity":[177],"bottleneck":[178],"inherent":[181],"map-reduce":[183],"architectures.":[184],"We":[185],"demonstrate":[186],"more":[188,204],"test-time":[189],"data":[190],"actually":[191],"improves":[192],"accuracy":[194],"coreference,":[196],"show":[198],"joint":[200],"substantially":[203],"accurate":[205],"than":[206],"entity-linking,":[208],"reducing":[209],"error":[210],"75%.":[212]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
