{"id":"https://openalex.org/W2987009731","doi":"https://doi.org/10.18653/v1/d19-5727","title":"Coreference Resolution in Full Text Articles with BERT and Syntax-based Mention Filtering","display_name":"Coreference Resolution in Full Text Articles with BERT and Syntax-based Mention Filtering","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2987009731","doi":"https://doi.org/10.18653/v1/d19-5727","mag":"2987009731"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-5727","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5727","pdf_url":"https://www.aclweb.org/anthology/D19-5727.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 5th Workshop on BioNLP Open Shared Tasks","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-5727.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062861266","display_name":"Hai-Long Trieu","orcid":"https://orcid.org/0000-0002-2472-6370"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hai-Long Trieu","raw_affiliation_strings":["Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Japan"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075206112","display_name":"Anh-Khoa Duong Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anh-Khoa Duong Nguyen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050147609","display_name":"Nhung T. H. Nguyen","orcid":"https://orcid.org/0000-0001-5935-9235"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nhung Nguyen","raw_affiliation_strings":["National Centre for Text Mining, University of Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"National Centre for Text Mining, University of Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101412540","display_name":"Makoto Miwa","orcid":"https://orcid.org/0000-0002-2330-6972"},"institutions":[{"id":"https://openalex.org/I4840577","display_name":"Toyota Technological Institute","ror":"https://ror.org/001hv0k59","country_code":"JP","type":"education","lineage":["https://openalex.org/I4840577"]},{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makoto Miwa","raw_affiliation_strings":["Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Japan","Toyota Technological Institute, Japan"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Japan","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"Toyota Technological Institute, Japan","institution_ids":["https://openalex.org/I4840577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042127858","display_name":"Hiroya Takamura","orcid":"https://orcid.org/0000-0002-3244-8294"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroya Takamura","raw_affiliation_strings":["Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Japan"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077976343","display_name":"Sophia Ananiadou","orcid":"https://orcid.org/0000-0002-4097-9191"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sophia Ananiadou","raw_affiliation_strings":["National Centre for Text Mining, University of Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"National Centre for Text Mining, University of Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5062861266"],"corresponding_institution_ids":["https://openalex.org/I73613424"],"apc_list":null,"apc_paid":null,"fwci":0.5601,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75735506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9998999834060669,"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/T13629","display_name":"Text Readability and Simplification","score":0.9922999739646912,"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":0.9224466681480408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.855000913143158},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7373583912849426},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6310182809829712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6287529468536377},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6164419054985046},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.5802767872810364},{"id":"https://openalex.org/keywords/antecedent","display_name":"Antecedent (behavioral psychology)","score":0.5787355899810791},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5764646530151367},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5648618340492249},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5381408929824829},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.5034896731376648},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4726525843143463},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4654572308063507},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32490670680999756},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.20797228813171387}],"concepts":[{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.9224466681480408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.855000913143158},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7373583912849426},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6310182809829712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6287529468536377},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6164419054985046},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.5802767872810364},{"id":"https://openalex.org/C2781256819","wikidata":"https://www.wikidata.org/wiki/Q16828835","display_name":"Antecedent (behavioral psychology)","level":2,"score":0.5787355899810791},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5764646530151367},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5648618340492249},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5381408929824829},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.5034896731376648},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4726525843143463},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4654572308063507},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32490670680999756},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.20797228813171387},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-5727","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5727","pdf_url":"https://www.aclweb.org/anthology/D19-5727.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 5th Workshop on BioNLP Open Shared Tasks","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-5727","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5727","pdf_url":"https://www.aclweb.org/anthology/D19-5727.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 5th Workshop on BioNLP Open Shared Tasks","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2987009731.pdf","grobid_xml":"https://content.openalex.org/works/W2987009731.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2064675550","https://openalex.org/W2250892234","https://openalex.org/W2582146834","https://openalex.org/W2745665559","https://openalex.org/W2886620152","https://openalex.org/W2922551710","https://openalex.org/W2963084773","https://openalex.org/W2963341956","https://openalex.org/W2964121744","https://openalex.org/W2964222246"],"related_works":["https://openalex.org/W2139373276","https://openalex.org/W2227889443","https://openalex.org/W1509033667","https://openalex.org/W4385749782","https://openalex.org/W3167631113","https://openalex.org/W3096231636","https://openalex.org/W2251064706","https://openalex.org/W1539566881","https://openalex.org/W4387184536","https://openalex.org/W2576227650"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"our":[3,92,98],"system":[4,43,51,108],"developed":[5],"for":[6],"the":[7,12,50,72,82,86,103,120,136],"coreference":[8,41],"resolution":[9,42],"task":[10],"of":[11,74,79,111,152],"CRAFT":[13,18],"Shared":[14],"Tasks":[15],"2019.":[16],"The":[17,105],"corpus":[19],"is":[20,139],"more":[21,153],"challenging":[22],"than":[23,154],"other":[24],"existing":[25,37],"corpora":[26],"because":[27],"it":[28],"contains":[29],"full":[30],"text":[31],"articles.":[32],"We":[33,48],"have":[34],"employed":[35],"an":[36],"span-based":[38],"state-of-theart":[39],"neural":[40],"as":[44],"a":[45,150],"baseline":[46],"system.":[47],"enhance":[49],"with":[52,70,123,149],"two":[53],"different":[54],"techniques":[55],"to":[56,141],"capture":[57],"longdistance":[58],"coreferent":[59,143],"pairs.":[60],"Firstly,":[61],"we":[62,84],"filter":[63],"noisy":[64],"mentions":[65],"based":[66],"on":[67,81,119],"parse":[68],"trees":[69],"increasing":[71],"number":[73],"antecedent":[75],"candidates.":[76],"Secondly,":[77],"instead":[78],"relying":[80],"LSTMs,":[83],"integrate":[85],"highly":[87],"expressive":[88],"language":[89],"model-BERT":[90],"into":[91],"model.":[93],"Experimental":[94],"results":[95],"show":[96],"that":[97],"proposed":[99,137],"systems":[100],"significantly":[101],"outperform":[102],"baseline.":[104],"best":[106],"performing":[107],"obtained":[109],"F-scores":[110],"44%,":[112],"48%,":[113],"39%,":[114],"49%,":[115],"40%,":[116],"and":[117,131],"57%":[118],"test":[121],"set":[122],"B":[124],"3":[125],",":[126],"BLANC,":[127],"CEAFE,":[128],"CEAFM,":[129],"LEA,":[130],"MUC":[132],"metrics,":[133],"respectively.":[134],"Additionally,":[135],"model":[138],"able":[140],"detect":[142],"pairs":[144],"in":[145],"long":[146],"distances,":[147],"even":[148],"distance":[151],"200":[155],"sentences.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
