{"id":"https://openalex.org/W2117921985","doi":"https://doi.org/10.3115/v1/p14-2057","title":"Tri-Training for Authorship Attribution with Limited Training Data","display_name":"Tri-Training for Authorship Attribution with Limited Training Data","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2117921985","doi":"https://doi.org/10.3115/v1/p14-2057","mag":"2117921985"},"language":"en","primary_location":{"id":"doi:10.3115/v1/p14-2057","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-2057","pdf_url":"https://aclanthology.org/P14-2057.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/P14-2057.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040759280","display_name":"Tieyun Qian","orcid":"https://orcid.org/0000-0003-4667-5794"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tieyun Qian","raw_affiliation_strings":["State Key Laboratory of Software Eng., Wuhan University 430072, Hubei, China","Wuhan Univ.,"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Eng., Wuhan University 430072, Hubei, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Wuhan Univ.,","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339927","display_name":"Bing Liu","orcid":"https://orcid.org/0000-0002-4096-6980"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bing Liu","raw_affiliation_strings":["Dept. of Computer Sci-ence, Univ. of Illinois at Chicago IL, USA, 60607","Department of Computer Science, University of Illinois at Chicago,#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Sci-ence, Univ. of Illinois at Chicago IL, USA, 60607","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Chicago,#TAB#","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379262","display_name":"Li Chen","orcid":"https://orcid.org/0000-0002-5842-838X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Chen","raw_affiliation_strings":["State Key Laboratory of Software Eng., Wuhan University 430072, Hubei, China","Wuhan Univ.,"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Eng., Wuhan University 430072, Hubei, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Wuhan Univ.,","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044622034","display_name":"Zhiyong Peng","orcid":"https://orcid.org/0000-0002-1062-0970"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Peng","raw_affiliation_strings":["Computer School, Wuhan University 430072, Hubei, China","Wuhan Univ.,"],"affiliations":[{"raw_affiliation_string":"Computer School, Wuhan University 430072, Hubei, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Wuhan Univ.,","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040759280"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":5.9197,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.96257693,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"345","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","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/T12380","display_name":"Authorship Attribution and Profiling","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":0.9947999715805054,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8450169563293457},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.7924759984016418},{"id":"https://openalex.org/keywords/co-training","display_name":"Co-training","score":0.6687179803848267},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6665781736373901},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6430975198745728},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5939255952835083},{"id":"https://openalex.org/keywords/authorship-attribution","display_name":"Authorship attribution","score":0.585139811038971},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5607288479804993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5208231210708618},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5152907371520996},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5091609358787537},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.49921679496765137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48477381467819214},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4846561551094055},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4618033766746521},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38120877742767334},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.13338953256607056}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8450169563293457},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.7924759984016418},{"id":"https://openalex.org/C2776959682","wikidata":"https://www.wikidata.org/wiki/Q17005296","display_name":"Co-training","level":3,"score":0.6687179803848267},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6665781736373901},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6430975198745728},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5939255952835083},{"id":"https://openalex.org/C3020202489","wikidata":"https://www.wikidata.org/wiki/Q2032038","display_name":"Authorship attribution","level":2,"score":0.585139811038971},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5607288479804993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5208231210708618},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5152907371520996},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5091609358787537},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.49921679496765137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48477381467819214},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4846561551094055},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4618033766746521},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38120877742767334},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.13338953256607056},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/v1/p14-2057","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-2057","pdf_url":"https://aclanthology.org/P14-2057.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.635.6289","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.635.6289","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/P/P14/P14-2057.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/p14-2057","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-2057","pdf_url":"https://aclanthology.org/P14-2057.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1481690274","display_name":null,"funder_award_id":"1232002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G173859302","display_name":null,"funder_award_id":"61232002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3069960981","display_name":null,"funder_award_id":"B07037","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G3610113662","display_name":null,"funder_award_id":"61272275","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5800652842","display_name":null,"funder_award_id":"6123200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8103603541","display_name":null,"funder_award_id":"B07037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8155466115","display_name":null,"funder_award_id":"61379044","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/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2117921985.pdf","grobid_xml":"https://content.openalex.org/works/W2117921985.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W16472989","https://openalex.org/W1521373230","https://openalex.org/W1524973551","https://openalex.org/W1606247040","https://openalex.org/W1979607625","https://openalex.org/W1992259767","https://openalex.org/W2009312480","https://openalex.org/W2011627645","https://openalex.org/W2025882237","https://openalex.org/W2028243078","https://openalex.org/W2037603696","https://openalex.org/W2043976122","https://openalex.org/W2047756776","https://openalex.org/W2048679005","https://openalex.org/W2054151502","https://openalex.org/W2061039273","https://openalex.org/W2066259047","https://openalex.org/W2097606805","https://openalex.org/W2101481293","https://openalex.org/W2101717196","https://openalex.org/W2103167816","https://openalex.org/W2104595931","https://openalex.org/W2116876181","https://openalex.org/W2118585731","https://openalex.org/W2159642183","https://openalex.org/W2250366331","https://openalex.org/W2294854639","https://openalex.org/W2407404459","https://openalex.org/W3151491250","https://openalex.org/W4236292226","https://openalex.org/W4250089123","https://openalex.org/W6691641423","https://openalex.org/W7064444981"],"related_works":["https://openalex.org/W277867124","https://openalex.org/W2797776314","https://openalex.org/W4303683898","https://openalex.org/W1505796919","https://openalex.org/W2104788210","https://openalex.org/W2130553454","https://openalex.org/W121244246","https://openalex.org/W2766321935","https://openalex.org/W3183551524","https://openalex.org/W2363068571"],"abstract_inverted_index":{"Authorship":[0],"attribution":[1],"(AA)":[2],"aims":[3],"to":[4,43,70,89,96],"identify":[5,91],"the":[6,34,54,73,98],"authors":[7,92],"of":[8,11,26,48,93],"a":[9,23,45,63,84],"set":[10,25,47],"documents.":[12],"Traditional":[13],"studies":[14],"in":[15,33,53],"this":[16,80],"area":[17],"often":[18,39],"assume":[19],"that":[20],"there":[21],"are":[22,67],"large":[24,46],"labeled":[27,49],"documents":[28],"available":[29],"for":[30,76],"training.":[31],"However,":[32],"real":[35],"life,":[36],"it":[37],"is":[38],"difficult":[40],"or":[41],"expensive":[42],"collect":[44],"data.":[50],"For":[51],"example,":[52],"online":[55],"review":[56],"domain,":[57],"most":[58],"reviewers":[59],"(authors)":[60],"only":[61],"write":[62],"few":[64],"reviews,":[65],"which":[66],"not":[68],"enough":[69],"serve":[71],"as":[72],"training":[74,99],"data":[75,95],"accurate":[77],"classification.":[78],"In":[79],"paper,":[81],"we":[82],"present":[83],"novel":[85],"three-view":[86],"tritraining":[87],"method":[88],"iteratively":[90],"unlabeled":[94],"augment":[97],"set.":[100]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"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":5},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
