{"id":"https://openalex.org/W2964093485","doi":"https://doi.org/10.18653/v1/p19-1593","title":"The Referential Reader: A Recurrent Entity Network for Anaphora Resolution","display_name":"The Referential Reader: A Recurrent Entity Network for Anaphora Resolution","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2964093485","doi":"https://doi.org/10.18653/v1/p19-1593","mag":"2964093485"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1593","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1593","pdf_url":"https://www.aclweb.org/anthology/P19-1593.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1593.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100394562","display_name":"Fei Liu","orcid":"https://orcid.org/0000-0001-7141-5105"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["AU","US"],"is_corresponding":true,"raw_author_name":"Fei Liu","raw_affiliation_strings":["Facebook AI Research University of Washington Seattle, USA","The University of Melbourne Victoria, Australia","Facebook AI Research Seattle, USA"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research University of Washington Seattle, USA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I58610484","https://openalex.org/I201448701"]},{"raw_affiliation_string":"The University of Melbourne Victoria, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Facebook AI Research Seattle, USA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067919401","display_name":"Luke Zettlemoyer","orcid":"https://orcid.org/0009-0008-8296-0764"},"institutions":[{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]},{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Luke Zettlemoyer","raw_affiliation_strings":["Facebook AI Research University of Washington Seattle, USA","The University of Melbourne Victoria, Australia","Facebook AI Research Seattle, USA"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research University of Washington Seattle, USA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I58610484","https://openalex.org/I201448701"]},{"raw_affiliation_string":"The University of Melbourne Victoria, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Facebook AI Research Seattle, USA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I58610484"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047699861","display_name":"Jacob Eisenstein","orcid":null},"institutions":[{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]},{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Jacob Eisenstein","raw_affiliation_strings":["Facebook AI Research Seattle, USA","The University of Melbourne Victoria, Australia","Facebook AI Research University of Washington Seattle, USA"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research Seattle, USA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I58610484"]},{"raw_affiliation_string":"The University of Melbourne Victoria, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Facebook AI Research University of Washington Seattle, USA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I58610484","https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100394562"],"corresponding_institution_ids":["https://openalex.org/I165779595","https://openalex.org/I58610484","https://openalex.org/I201448701","https://openalex.org/I4210114444"],"apc_list":null,"apc_paid":null,"fwci":1.53617746,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86316723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5918","last_page":"5925"},"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":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/T12031","display_name":"Speech and dialogue systems","score":0.9983000159263611,"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/anaphora","display_name":"Anaphora (linguistics)","score":0.9321116209030151},{"id":"https://openalex.org/keywords/coreference","display_name":"Coreference","score":0.9269132018089294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8472602367401123},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7279176712036133},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.6398277282714844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6154361963272095},{"id":"https://openalex.org/keywords/pronoun","display_name":"Pronoun","score":0.5746206641197205},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.5635318160057068},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5385457277297974},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.23343971371650696}],"concepts":[{"id":"https://openalex.org/C2781449363","wikidata":"https://www.wikidata.org/wiki/Q156751","display_name":"Anaphora (linguistics)","level":3,"score":0.9321116209030151},{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.9269132018089294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8472602367401123},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7279176712036133},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6398277282714844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6154361963272095},{"id":"https://openalex.org/C2778551981","wikidata":"https://www.wikidata.org/wiki/Q36224","display_name":"Pronoun","level":2,"score":0.5746206641197205},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.5635318160057068},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5385457277297974},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.23343971371650696},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1593","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1593","pdf_url":"https://www.aclweb.org/anthology/P19-1593.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1593","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1593","pdf_url":"https://www.aclweb.org/anthology/P19-1593.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964093485.pdf","grobid_xml":"https://content.openalex.org/works/W2964093485.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1924770834","https://openalex.org/W1974105891","https://openalex.org/W2020755048","https://openalex.org/W2124741472","https://openalex.org/W2250539671","https://openalex.org/W2252031764","https://openalex.org/W2267186426","https://openalex.org/W2547875792","https://openalex.org/W2563734883","https://openalex.org/W2751916302","https://openalex.org/W2896457183","https://openalex.org/W2920114910","https://openalex.org/W2951008357","https://openalex.org/W2951976932","https://openalex.org/W2963290255","https://openalex.org/W2963341956","https://openalex.org/W2963529986","https://openalex.org/W2963925965","https://openalex.org/W2964121744","https://openalex.org/W2964151654","https://openalex.org/W2964222246","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4281770883","https://openalex.org/W2361342447","https://openalex.org/W4387184536","https://openalex.org/W2339319059","https://openalex.org/W1594011529","https://openalex.org/W2069989919","https://openalex.org/W2032869331","https://openalex.org/W3089213124","https://openalex.org/W4200452535","https://openalex.org/W2309939088"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,32,35,81,89,96],"new":[3],"architecture":[4],"for":[5],"storing":[6],"and":[7,23],"accessing":[8],"entity":[9,19],"mentions":[10,46,59],"during":[11],"online":[12],"text":[13,107],"processing.":[14,108],"While":[15],"reading":[16],"the":[17,44,51,54,65,76],"text,":[18],"references":[20],"are":[21,48],"identified,":[22],"may":[24],"be":[25,61],"stored":[26,49],"by":[27],"either":[28],"updating":[29],"or":[30],"overwriting":[31],"cell":[33],"in":[34,50],"fixed-length":[36],"memory.":[37],"The":[38],"update":[39],"operation":[40,56],"implies":[41],"coreference":[42],"with":[43,104],"other":[45],"that":[47],"same":[52],"cell;":[53],"overwrite":[55],"causes":[57],"these":[58],"to":[60,74],"forgotten.":[62],"By":[63],"encoding":[64],"memory":[66],"operations":[67],"as":[68,86,88],"differentiable":[69],"gates,":[70],"it":[71],"is":[72],"possible":[73],"train":[75],"model":[77],"end-to-end,":[78],"using":[79],"both":[80],"supervised":[82],"anaphora":[83,100],"resolution":[84],"objective":[85],"well":[87],"supplementary":[90],"language":[91],"modeling":[92],"objective.":[93],"Evaluation":[94],"on":[95],"dataset":[97],"of":[98],"pronoun-name":[99],"demonstrates":[101],"strong":[102],"performance":[103],"purely":[105],"incremental":[106]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
