{"id":"https://openalex.org/W2515059321","doi":"https://doi.org/10.18653/v1/p16-1031","title":"Bi-Transferring Deep Neural Networks for Domain Adaptation","display_name":"Bi-Transferring Deep Neural Networks for Domain Adaptation","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2515059321","doi":"https://doi.org/10.18653/v1/p16-1031","mag":"2515059321"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p16-1031","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1031","pdf_url":"https://www.aclweb.org/anthology/P16-1031.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 54th 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/P16-1031.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007102035","display_name":"Guangyou Zhou","orcid":"https://orcid.org/0000-0002-7675-6619"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyou Zhou","raw_affiliation_strings":["School of Computer, Central China Normal University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101705596","display_name":"Zhiwen Xie","orcid":"https://orcid.org/0000-0003-0837-3285"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Xie","raw_affiliation_strings":["School of Computer, Central China Normal University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000409439","display_name":"Jimmy Xiangji Huang","orcid":"https://orcid.org/0000-0003-1292-1491"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jimmy Xiangji Huang","raw_affiliation_strings":["School of Information Technology, York University, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102010133","display_name":"Tingting He","orcid":"https://orcid.org/0000-0002-6127-852X"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tingting He","raw_affiliation_strings":["School of Computer, Central China Normal University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102010133"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":68,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"322","last_page":"332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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":0.9983999729156494,"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":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.8094356060028076},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7571931481361389},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.7060229778289795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.65110182762146},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6315456628799438},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5352391004562378},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5263054370880127},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.47264426946640015},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4619247317314148},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4509543478488922},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43775635957717896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39457792043685913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10889226198196411}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8094356060028076},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7571931481361389},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7060229778289795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.65110182762146},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6315456628799438},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5352391004562378},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5263054370880127},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.47264426946640015},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4619247317314148},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4509543478488922},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43775635957717896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39457792043685913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10889226198196411},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p16-1031","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1031","pdf_url":"https://www.aclweb.org/anthology/P16-1031.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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p16-1031","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1031","pdf_url":"https://www.aclweb.org/anthology/P16-1031.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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1705861068","display_name":null,"funder_award_id":"CCNU16A02024","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5485066825","display_name":null,"funder_award_id":"CCNU15ZD003","funder_id":"https://openalex.org/F4320323173","funder_display_name":"Central China Normal University"},{"id":"https://openalex.org/G5723169072","display_name":null,"funder_award_id":"61303180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8305600114","display_name":null,"funder_award_id":"61573163","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/F4320323173","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2515059321.pdf","grobid_xml":"https://content.openalex.org/works/W2515059321.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W665341","https://openalex.org/W22861983","https://openalex.org/W71795751","https://openalex.org/W159038999","https://openalex.org/W170467976","https://openalex.org/W1512874001","https://openalex.org/W1932968309","https://openalex.org/W1967807490","https://openalex.org/W2025768430","https://openalex.org/W2055103902","https://openalex.org/W2062518264","https://openalex.org/W2068599126","https://openalex.org/W2072128103","https://openalex.org/W2092560274","https://openalex.org/W2096873754","https://openalex.org/W2097726431","https://openalex.org/W2102394389","https://openalex.org/W2108646579","https://openalex.org/W2110518760","https://openalex.org/W2110798204","https://openalex.org/W2111362445","https://openalex.org/W2112483442","https://openalex.org/W2118045473","https://openalex.org/W2118585731","https://openalex.org/W2120354757","https://openalex.org/W2123160630","https://openalex.org/W2124033848","https://openalex.org/W2130903752","https://openalex.org/W2131953535","https://openalex.org/W2133968458","https://openalex.org/W2151752537","https://openalex.org/W2153353890","https://openalex.org/W2156940638","https://openalex.org/W2158108973","https://openalex.org/W2158199200","https://openalex.org/W2158751697","https://openalex.org/W2159291411","https://openalex.org/W2163302275","https://openalex.org/W2166706824","https://openalex.org/W2175912444","https://openalex.org/W2207593006","https://openalex.org/W2211769421","https://openalex.org/W2215421138","https://openalex.org/W2250378698","https://openalex.org/W2250879510","https://openalex.org/W2250966211","https://openalex.org/W2251732921","https://openalex.org/W2252047258","https://openalex.org/W2261310161","https://openalex.org/W2397710600","https://openalex.org/W2403160752","https://openalex.org/W2612769033","https://openalex.org/W2949821452","https://openalex.org/W2950276680","https://openalex.org/W2950879740","https://openalex.org/W2951097597","https://openalex.org/W2951278869","https://openalex.org/W2962755455","https://openalex.org/W3146885639","https://openalex.org/W4231109964","https://openalex.org/W4385414156","https://openalex.org/W6677656871"],"related_works":["https://openalex.org/W3080655457","https://openalex.org/W3136267388","https://openalex.org/W3186065094","https://openalex.org/W4287263085","https://openalex.org/W3093803318","https://openalex.org/W3095487414","https://openalex.org/W4312617661","https://openalex.org/W3204418343","https://openalex.org/W3166286441","https://openalex.org/W3214142563"],"abstract_inverted_index":{"Sentiment":[0],"classification":[1,49,173],"aims":[2],"to":[3,21,41,54,85,91,102,167],"automatically":[4],"predict":[5],"sentiment":[6,15,28,48,172],"polarity":[7],"(e.g.,":[8,17],"positive":[9],"or":[10],"negative)":[11],"of":[12,109,114,185,187,190],"user":[13],"generated":[14],"data":[16,135],"reviews,":[18],"blogs).":[19],"Due":[20],"the":[22,56,65,87,92,98,103,112,119,123,127,141,152,163,202,214],"mismatch":[23],"among":[24],"different":[25],"domains,":[26,117],"a":[27,70,133,139,169,175,182],"classifier":[29,170],"trained":[30],"in":[31,174],"one":[32],"domain":[33,45,57,72,89,100,125,129,144,166,218],"may":[34],"not":[35],"work":[36],"well":[37],"when":[38],"directly":[39],"applied":[40],"other":[42],"domains.":[43],"Thus,":[44],"adaptation":[46,73],"for":[47,171,217],"algorithms":[50],"are":[51],"highly":[52],"desirable":[53,128],"reduce":[55],"discrepancy":[58],"and":[59,95,118,126,147,206],"manual":[60],"labeling":[61],"costs.":[62],"To":[63],"address":[64],"above":[66],"challenge,":[67],"we":[68],"propose":[69],"novel":[71],"method,":[74],"called":[75],"Bi-Transferring":[76],"Deep":[77],"Neural":[78],"Networks":[79],"(BTDNNs).":[80],"The":[81,106],"proposed":[82,198],"BTDNNs":[83,110],"attempts":[84],"transfer":[86,97],"source":[88,104,143,165],"examples":[90,101],"target":[93,99,153,176],"domain,":[94],"also":[96],"domain.":[105,154,177],"linear":[107,134],"transformation":[108],"ensures":[111],"feasibility":[113],"transferring":[115],"between":[116,122],"distribution":[120,150],"consistency":[121],"transferred":[124,142,164],"is":[130,145,211],"constrained":[131],"with":[132,213],"reconstruction":[136],"manner.":[137],"As":[138],"result,":[140],"supervised":[146,157],"follows":[148],"similar":[149],"as":[151],"Therefore,":[155],"any":[156],"method":[158,216],"can":[159],"be":[160],"used":[161],"on":[162,181],"train":[168],"We":[178],"conduct":[179],"experiments":[180],"benchmark":[183],"composed":[184],"reviews":[186],"4":[188],"types":[189],"Amazon":[191],"products.":[192],"Experimental":[193],"results":[194],"show":[195],"that":[196],"our":[197],"approach":[199],"significantly":[200],"outperforms":[201],"several":[203],"baseline":[204],"methods,":[205],"achieves":[207],"an":[208],"accuracy":[209],"which":[210],"competitive":[212],"state-of-the-art":[215],"adaptation.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}