{"id":"https://openalex.org/W2250649184","doi":"https://doi.org/10.18653/v1/d13-1062","title":"Joint Chinese Word Segmentation and POS Tagging on Heterogeneous Annotated Corpora with Multiple Task Learning","display_name":"Joint Chinese Word Segmentation and POS Tagging on Heterogeneous Annotated Corpora with Multiple Task Learning","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2250649184","doi":"https://doi.org/10.18653/v1/d13-1062","mag":"2250649184"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d13-1062","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/d13-1062","pdf_url":"https://aclanthology.org/D13-1062.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D13-1062.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","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":["Fudan University , 825 Zhangheng Road , Shanghai , China","FUDAN UNIVERSITY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University , 825 Zhangheng Road , Shanghai , China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"FUDAN UNIVERSITY","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103098988","display_name":"Jiayi Zhao","orcid":"https://orcid.org/0000-0002-0395-9212"},"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":"Jiayi Zhao","raw_affiliation_strings":["Fudan University , 825 Zhangheng Road , Shanghai , China","Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University , 825 Zhangheng Road , Shanghai , China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University, 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":["Fudan University , 825 Zhangheng Road , Shanghai , China","FUDAN UNIVERSITY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University , 825 Zhangheng Road , Shanghai , China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"FUDAN UNIVERSITY","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":1.8304,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87272659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"658","last_page":"668"},"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":0.9923999905586243,"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/treebank","display_name":"Treebank","score":0.9746066331863403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8969307541847229},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7537050247192383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6894755363464355},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6606142520904541},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6313854455947876},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5887951850891113},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.5478718280792236},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5346656441688538},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5251533389091492},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5062707662582397},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4831821024417877},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1065712571144104}],"concepts":[{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.9746066331863403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8969307541847229},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7537050247192383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6894755363464355},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6606142520904541},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6313854455947876},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5887951850891113},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.5478718280792236},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5346656441688538},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5251533389091492},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5062707662582397},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4831821024417877},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1065712571144104},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/d13-1062","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/d13-1062","pdf_url":"https://aclanthology.org/D13-1062.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.593.5502","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.593.5502","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/D13/D13-1062.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/d13-1062","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/d13-1062","pdf_url":"https://aclanthology.org/D13-1062.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1828425977","display_name":null,"funder_award_id":"973 program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4469835919","display_name":null,"funder_award_id":"2010CB327900","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4732594032","display_name":null,"funder_award_id":"2010CB327900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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"},{"id":"https://openalex.org/F4320335766","display_name":"Shanghai Leading Academic Discipline Project","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250649184.pdf","grobid_xml":"https://content.openalex.org/works/W2250649184.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1575907248","https://openalex.org/W1588242179","https://openalex.org/W2008652694","https://openalex.org/W2020787928","https://openalex.org/W2036043322","https://openalex.org/W2110974939","https://openalex.org/W2118563017","https://openalex.org/W2130903752","https://openalex.org/W2140997362","https://openalex.org/W2143564602","https://openalex.org/W2145905222","https://openalex.org/W2147196093","https://openalex.org/W2147880316","https://openalex.org/W2159406587","https://openalex.org/W2160218441","https://openalex.org/W2160513510","https://openalex.org/W2251797717","https://openalex.org/W2252128651","https://openalex.org/W3088186095","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2404671839","https://openalex.org/W3030001591","https://openalex.org/W2589201127","https://openalex.org/W2048063563","https://openalex.org/W2033043215","https://openalex.org/W2251524673","https://openalex.org/W2182012814","https://openalex.org/W139168100","https://openalex.org/W1993844325","https://openalex.org/W2126647499"],"abstract_inverted_index":{"Chinese":[0,13,31,41,61,72],"word":[1],"segmentation":[2],"and":[3,21,52,64,81,109],"part-ofspeech":[4],"tagging":[5],"(S&T)":[6],"are":[7],"fundamental":[8],"steps":[9],"for":[10,30,40],"more":[11,20,22],"advanced":[12],"language":[14],"processing":[15],"tasks.Recently,":[16],"it":[17],"has":[18],"attracted":[19],"research":[23],"interests":[24],"to":[25],"exploit":[26],"heterogeneous":[27,44,58,75,87,102],"annotation":[28,45],"corpora":[29,76,88,103],"S&T.In":[32],"this":[33],"paper,":[34],"we":[35,69],"propose":[36],"a":[37,50],"unified":[38],"model":[39,84],"S&T":[42,73],"with":[43,74],"corpora.We":[46],"first":[47],"automatically":[48],"construct":[49],"loose":[51],"uncertain":[53],"mapping":[54],"between":[55],"two":[56,78,86],"representative":[57],"corpora,":[59],"Penn":[60],"Treebank":[62],"(CTB)":[63],"PKU's":[65],"People's":[66],"Daily":[67],"(PPD).Then":[68],"regard":[70],"the":[71,96,101,106,114],"as":[77],"\"related\"":[79],"tasks":[80],"train":[82],"our":[83,92],"on":[85],"simultaneously.Experiments":[89],"show":[90],"that":[91],"method":[93],"can":[94],"boost":[95],"performances":[97],"of":[98,100],"both":[99],"by":[104],"using":[105],"shared":[107],"information,":[108],"achieves":[110],"significant":[111],"improvements":[112],"over":[113],"state-of-the-art":[115],"methods.":[116]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2}],"updated_date":"2026-08-02T14:50:37.381335","created_date":"2025-10-10T00:00:00"}