{"id":"https://openalex.org/W2251229550","doi":"https://doi.org/10.3115/v1/d14-1084","title":"Chinese Zero Pronoun Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers","display_name":"Chinese Zero Pronoun Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2251229550","doi":"https://doi.org/10.3115/v1/d14-1084","mag":"2251229550"},"language":"en","primary_location":{"id":"doi:10.3115/v1/d14-1084","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1084","pdf_url":"https://doi.org/10.3115/v1/d14-1084","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/d14-1084","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100418547","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0003-1957-6432"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["University of Texas at Dallas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004305684","display_name":"Vincent Ng","orcid":"https://orcid.org/0000-0002-5114-3883"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vincent Ng","raw_affiliation_strings":["Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"763","last_page":"774"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6982269287109375},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.6680052280426025},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6318145990371704},{"id":"https://openalex.org/keywords/pronoun","display_name":"Pronoun","score":0.6093250513076782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5711460709571838},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5015218257904053},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4711438715457916},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4682909846305847},{"id":"https://openalex.org/keywords/resolver","display_name":"Resolver","score":0.43981078267097473},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.21584007143974304}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6982269287109375},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.6680052280426025},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6318145990371704},{"id":"https://openalex.org/C2778551981","wikidata":"https://www.wikidata.org/wiki/Q36224","display_name":"Pronoun","level":2,"score":0.6093250513076782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5711460709571838},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5015218257904053},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4711438715457916},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4682909846305847},{"id":"https://openalex.org/C80156102","wikidata":"https://www.wikidata.org/wiki/Q788036","display_name":"Resolver","level":3,"score":0.43981078267097473},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.21584007143974304},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/v1/d14-1084","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1084","pdf_url":"https://doi.org/10.3115/v1/d14-1084","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.684.1054","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.684.1054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://emnlp2014.org/papers/pdf/EMNLP2014084.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.696.4139","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.4139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/D/D14/D14-1084.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/d14-1084","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1084","pdf_url":"https://doi.org/10.3115/v1/d14-1084","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5799999833106995,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W25333297","https://openalex.org/W80257477","https://openalex.org/W138910040","https://openalex.org/W204341599","https://openalex.org/W1510598116","https://openalex.org/W2021692535","https://openalex.org/W2038245978","https://openalex.org/W2039813897","https://openalex.org/W2049633694","https://openalex.org/W2077810047","https://openalex.org/W2098132066","https://openalex.org/W2099115159","https://openalex.org/W2123024554","https://openalex.org/W2124741472","https://openalex.org/W2126795320","https://openalex.org/W2133258739","https://openalex.org/W2135337869","https://openalex.org/W2145208835","https://openalex.org/W2155069789","https://openalex.org/W2158831095","https://openalex.org/W2170167815","https://openalex.org/W2250555572","https://openalex.org/W2250637647","https://openalex.org/W2251784867","https://openalex.org/W2397240125","https://openalex.org/W2404513561"],"related_works":["https://openalex.org/W2121484818","https://openalex.org/W2804343227","https://openalex.org/W2142531896","https://openalex.org/W1526923327","https://openalex.org/W2158159993","https://openalex.org/W2369328568","https://openalex.org/W2377847262","https://openalex.org/W4210337026","https://openalex.org/W2588537960","https://openalex.org/W4380356635"],"abstract_inverted_index":{"State-of-the-art":[0],"Chinese":[1,32,81],"zero":[2,16,33,63,82],"pronoun":[3,34,48],"res-olution":[4],"systems":[5],"are":[6],"supervised,":[7],"thus":[8],"re-lying":[9],"on":[10,22,51],"training":[11],"data":[12],"containing":[13],"manu-ally":[14],"resolved":[15],"pronouns.":[17,64],"To":[18],"elimi-nate":[19],"the":[20,37,80,85],"reliance":[21],"annotated":[23],"data,":[24],"we":[25],"present":[26],"a":[27,43,46],"generative":[28],"model":[29,41,70],"for":[30],"unsuper-vised":[31,56],"resolution.":[35],"At":[36],"core":[38],"of":[39],"our":[40,68],"is":[42],"novel":[44],"hy-pothesis:":[45],"probabilistic":[47],"resolver":[49],"trained":[50],"overt":[52],"pronouns":[53,83],"in":[54,76,84],"an":[55],"manner":[57],"can":[58],"be":[59],"used":[60],"to":[61],"resolve":[62],"Experiments":[65],"demonstrate":[66],"that":[67],"unsupervised":[69],"rivals":[71],"its":[72],"state-of-the-art":[73],"supervised":[74],"counterparts":[75],"perfor-mance":[77],"when":[78],"resolving":[79],"OntoNotes":[86],"corpus.":[87],"1":[88]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}