{"id":"https://openalex.org/W3135331351","doi":"https://doi.org/10.1109/besc51023.2020.9348304","title":"Chinese Zero Pronoun Resolution Based on Biaffine Attention Mechanism","display_name":"Chinese Zero Pronoun Resolution Based on Biaffine Attention Mechanism","publication_year":2020,"publication_date":"2020-11-05","ids":{"openalex":"https://openalex.org/W3135331351","doi":"https://doi.org/10.1109/besc51023.2020.9348304","mag":"3135331351"},"language":"en","primary_location":{"id":"doi:10.1109/besc51023.2020.9348304","is_oa":false,"landing_page_url":"http://doi.org/10.1109/besc51023.2020.9348304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 7th International Conference on Behavioural and Social Computing (BESC)","raw_type":"proceedings-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/A5046592219","display_name":"Likai Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wang Likai","raw_affiliation_strings":["School of Computer Science and Technology Nanjing Normal University,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Nanjing Normal University,Nanjing,China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054564404","display_name":"Weiguang Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qu Weiguang","raw_affiliation_strings":["School of Computer Science and Technology Nanjing Normal University,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Nanjing Normal University,Nanjing,China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020383377","display_name":"Wei Tinxin","orcid":null},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Tinxin","raw_affiliation_strings":["School of Chinese Language and Literature Nanjing Normal University,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"School of Chinese Language and Literature Nanjing Normal University,Nanjing,China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060588302","display_name":"Junsheng Zhou","orcid":"https://orcid.org/0000-0002-1919-8227"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Junsheng","raw_affiliation_strings":["School of Computer Science and Technology Nanjing Normal University,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Nanjing Normal University,Nanjing,China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749023","display_name":"Yanhui Gu","orcid":"https://orcid.org/0000-0002-8838-3186"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gu Yanhui","raw_affiliation_strings":["School of Computer Science and Technology Nanjing Normal University,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Nanjing Normal University,Nanjing,China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035370309","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-3956-8408"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Bin","raw_affiliation_strings":["School of Chinese Language and Literature Nanjing Normal University,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"School of Chinese Language and Literature Nanjing Normal University,Nanjing,China","institution_ids":["https://openalex.org/I152031979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5046592219"],"corresponding_institution_ids":["https://openalex.org/I152031979"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21205217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9995999932289124,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9876999855041504,"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/antecedent","display_name":"Antecedent (behavioral psychology)","score":0.883874237537384},{"id":"https://openalex.org/keywords/pronoun","display_name":"Pronoun","score":0.7425575852394104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6856231093406677},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.6791373491287231},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5941417813301086},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5536249876022339},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5255165100097656},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4466634690761566},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4297488331794739},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4207560122013092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4089605212211609},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2574242353439331},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13984936475753784},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09659183025360107}],"concepts":[{"id":"https://openalex.org/C2781256819","wikidata":"https://www.wikidata.org/wiki/Q16828835","display_name":"Antecedent (behavioral psychology)","level":2,"score":0.883874237537384},{"id":"https://openalex.org/C2778551981","wikidata":"https://www.wikidata.org/wiki/Q36224","display_name":"Pronoun","level":2,"score":0.7425575852394104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6856231093406677},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.6791373491287231},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5941417813301086},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5536249876022339},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5255165100097656},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4466634690761566},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4297488331794739},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4207560122013092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4089605212211609},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2574242353439331},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13984936475753784},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09659183025360107},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/besc51023.2020.9348304","is_oa":false,"landing_page_url":"http://doi.org/10.1109/besc51023.2020.9348304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 7th International Conference on Behavioural and Social Computing (BESC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2418403507","https://openalex.org/W2512290434","https://openalex.org/W2759135454","https://openalex.org/W2798752741","https://openalex.org/W2874600858","https://openalex.org/W2963888230","https://openalex.org/W2964153980","https://openalex.org/W3102685326","https://openalex.org/W6753451185"],"related_works":["https://openalex.org/W2478582891","https://openalex.org/W2107728149","https://openalex.org/W2360806008","https://openalex.org/W2203872009","https://openalex.org/W3157556506","https://openalex.org/W2157900495","https://openalex.org/W2169869757","https://openalex.org/W2397870579","https://openalex.org/W22903950","https://openalex.org/W2087003976"],"abstract_inverted_index":{"To":[0],"solve":[1],"the":[2,30,40,47,50,70,88,96],"task":[3],"of":[4,29,49,69,90],"Chinese":[5,13,77,91],"zero":[6,14,42,71,92],"pronoun":[7,15,72,93],"resolution,":[8,94],"this":[9],"paper":[10],"proposes":[11],"a":[12,35],"resolution":[16],"based":[17],"on":[18,76],"biaffine":[19,62],"attention":[20,63],"mechanism.":[21],"First,":[22],"Bert":[23],"is":[24,65],"employed":[25],"to":[26],"get":[27,46],"representation":[28,48],"text,":[31],"and":[32,44,53,95],"then":[33,45],"build":[34],"candidate":[36],"antecedent":[37,59],"set":[38],"for":[39,57],"target":[41],"pronoun,":[43],"local":[51],"information":[52,55],"global":[54],"respectively":[56],"each":[58],"candidate.":[60],"Finally,":[61],"mechanism":[64],"used":[66],"in":[67],"classification":[68],"resolution.":[73],"The":[74],"Experiments":[75],"OntoNotes5.0":[78],"dataset":[79],"show":[80],"that":[81],"our":[82],"proposed":[83],"approach":[84],"can":[85],"effectively":[86],"improve":[87],"effect":[89],"F1":[97],"value":[98],"reaches":[99],"59.7%.":[100]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}