{"id":"https://openalex.org/W2963355640","doi":"https://doi.org/10.18653/v1/p17-1110","title":"Adversarial Multi-Criteria Learning for Chinese Word Segmentation","display_name":"Adversarial Multi-Criteria Learning for Chinese Word Segmentation","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2963355640","doi":"https://doi.org/10.18653/v1/p17-1110","mag":"2963355640"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p17-1110","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1110","pdf_url":"https://www.aclweb.org/anthology/P17-1110.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 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P17-1110.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028108458","display_name":"Xinchi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinchi Chen","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086314063","display_name":"Zhan Shi","orcid":"https://orcid.org/0000-0002-7798-1121"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Shi","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044665993","display_name":"Xipeng Qiu","orcid":"https://orcid.org/0000-0001-7163-5247"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xipeng Qiu","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088834359","display_name":"Xuanjing Huang","orcid":"https://orcid.org/0000-0001-9197-9426"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanjing Huang","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":15.642,"has_fulltext":true,"cited_by_count":167,"citation_normalized_percentile":{"value":0.99254641,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1193","last_page":"1203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9929999709129333,"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":0.8181637525558472},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8050031661987305},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8038451671600342},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7602705359458923},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6947125792503357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6326820850372314},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.549901008605957},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5169455409049988},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.48263201117515564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41420263051986694},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1103682816028595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8181637525558472},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8050031661987305},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8038451671600342},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7602705359458923},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6947125792503357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6326820850372314},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.549901008605957},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5169455409049988},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.48263201117515564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41420263051986694},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1103682816028595},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p17-1110","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1110","pdf_url":"https://www.aclweb.org/anthology/P17-1110.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 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p17-1110","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1110","pdf_url":"https://www.aclweb.org/anthology/P17-1110.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 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3892115987","display_name":null,"funder_award_id":"61532011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4666185321","display_name":null,"funder_award_id":"16JC1420401","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G6564481282","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7684\u7aef\u5230\u7aef\u81ea\u52a8\u95ee\u7b54\u7cfb\u7edf\u7814\u7a76","funder_award_id":"61672162","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7475107363","display_name":null,"funder_award_id":"16JC1420401","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963355640.pdf","grobid_xml":"https://content.openalex.org/works/W2963355640.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W25062297","https://openalex.org/W581956982","https://openalex.org/W1522301498","https://openalex.org/W1577269164","https://openalex.org/W1588242179","https://openalex.org/W1614298861","https://openalex.org/W1731081199","https://openalex.org/W1810943226","https://openalex.org/W2036043322","https://openalex.org/W2099471712","https://openalex.org/W2117130368","https://openalex.org/W2145905222","https://openalex.org/W2147880316","https://openalex.org/W2160513510","https://openalex.org/W2250649184","https://openalex.org/W2250739653","https://openalex.org/W2251362855","https://openalex.org/W2251804052","https://openalex.org/W2251811146","https://openalex.org/W2252225757","https://openalex.org/W2400932086","https://openalex.org/W2406728828","https://openalex.org/W2407776548","https://openalex.org/W2511131004","https://openalex.org/W2525330092","https://openalex.org/W2557387915","https://openalex.org/W2562135657","https://openalex.org/W2567359325","https://openalex.org/W2913340405","https://openalex.org/W2950577311","https://openalex.org/W2953127297","https://openalex.org/W2963153906","https://openalex.org/W2963842982","https://openalex.org/W2964121744","https://openalex.org/W3088186095","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W2172629291","https://openalex.org/W2380773642","https://openalex.org/W2384559435","https://openalex.org/W2337707338","https://openalex.org/W2393940967","https://openalex.org/W2159591557","https://openalex.org/W2785359773","https://openalex.org/W2058548953","https://openalex.org/W2385598138","https://openalex.org/W2366925922"],"abstract_inverted_index":{"Different":[0],"linguistic":[1],"perspectives":[2],"causes":[3],"many":[4],"diverse":[5],"segmentation":[6,11,57,65],"criteria":[7,33,66],"for":[8,21,48],"Chinese":[9],"word":[10],"(CWS).":[12],"Most":[13],"existing":[14],"methods":[15],"focus":[16],"on":[17,60],"improve":[18],"the":[19,69],"performance":[20,70],"each":[22,72],"single":[23],"criterion.":[24],"However,":[25],"it":[26],"is":[27],"interesting":[28],"to":[29,79],"exploit":[30],"these":[31],"different":[32],"and":[34],"mining":[35],"their":[36],"common":[37],"underlying":[38],"knowledge.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"propose":[44],"adversarial":[45],"multi-criteria":[46],"learning":[47],"CWS":[49],"by":[50],"integrating":[51],"shared":[52],"knowledge":[53],"from":[54],"multiple":[55],"heterogeneous":[56,64],"criteria.":[58],"Experiments":[59],"eight":[61],"corpora":[62],"with":[63],"show":[67],"that":[68],"of":[71],"corpus":[73],"obtains":[74],"a":[75],"significant":[76],"improvement,":[77],"compared":[78],"single-criterion":[80],"learning.":[81]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":35},{"year":2019,"cited_by_count":42},{"year":2018,"cited_by_count":34},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}