{"id":"https://openalex.org/W3037179955","doi":"https://doi.org/10.3233/jifs-191047","title":"Multi-task learning model for aspect term extraction and aspect polarity classification based on dual-labels","display_name":"Multi-task learning model for aspect term extraction and aspect polarity classification based on dual-labels","publication_year":2020,"publication_date":"2020-06-26","ids":{"openalex":"https://openalex.org/W3037179955","doi":"https://doi.org/10.3233/jifs-191047","mag":"3037179955"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-191047","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191047","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024981683","display_name":"Biqing Zeng","orcid":"https://orcid.org/0000-0001-9088-4759"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Biqing Zeng","raw_affiliation_strings":["School of Software, South China Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101989503","display_name":"Feng Zeng","orcid":"https://orcid.org/0000-0001-6237-9819"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zeng","raw_affiliation_strings":["School of Computer, South China Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, South China Normal University, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416353","display_name":"Heng Yang","orcid":"https://orcid.org/0000-0002-6831-196X"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Yang","raw_affiliation_strings":["School of Computer, South China Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, South China Normal University, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114461955","display_name":"Wu Zhou","orcid":"https://orcid.org/0000-0003-1156-4592"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Zhou","raw_affiliation_strings":["School of Computer, South China Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, South China Normal University, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032246405","display_name":"Ruyang Xu","orcid":"https://orcid.org/0000-0002-3680-927X"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruyang Xu","raw_affiliation_strings":["School of Computer, South China Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, South China Normal University, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024981683"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06813819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":"3","first_page":"2763","last_page":"2774"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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":0.9997000098228455,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9908000230789185,"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":0.9807999730110168,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8240084648132324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7979687452316284},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.756145715713501},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.6302043199539185},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.6285289525985718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6186150908470154},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5905811190605164},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5593765377998352},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5019989013671875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48415809869766235},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4768694043159485},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4341892600059509},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4315418601036072},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07544717192649841}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8240084648132324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7979687452316284},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.756145715713501},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.6302043199539185},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.6285289525985718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6186150908470154},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5905811190605164},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5593765377998352},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5019989013671875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48415809869766235},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4768694043159485},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4341892600059509},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4315418601036072},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07544717192649841},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-191047","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191047","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2100362224","https://openalex.org/W2143612262","https://openalex.org/W2159457224","https://openalex.org/W2164072581","https://openalex.org/W2165855670","https://openalex.org/W2251385138","https://openalex.org/W2562607067","https://openalex.org/W2604205681","https://openalex.org/W2757541972","https://openalex.org/W2890240222","https://openalex.org/W2897908126","https://openalex.org/W2903761440","https://openalex.org/W2962741379","https://openalex.org/W2962808042","https://openalex.org/W2962843214","https://openalex.org/W2963168371","https://openalex.org/W2963355447","https://openalex.org/W2964059932","https://openalex.org/W2964164368"],"related_works":["https://openalex.org/W1988325893","https://openalex.org/W3029012650","https://openalex.org/W2776212826","https://openalex.org/W3214323197","https://openalex.org/W2805679416","https://openalex.org/W2383111961","https://openalex.org/W2805889480","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W1984947604"],"abstract_inverted_index":{"Aspect-based":[0],"sentiment":[1],"analysis":[2],"(ABSA)":[3],"is":[4,15,137],"a":[5,81],"hot":[6],"and":[7,25,37,44,63,92,100,111,141,146],"significant":[8],"task":[9],"of":[10,17,60,68,76,127,138],"natural":[11],"language":[12],"processing,":[13],"which":[14,56],"composed":[16],"two":[18,34,122],"subtasks,":[19],"the":[20,54,66,69,74,134,151],"aspect":[21,26],"term":[22],"extraction":[23],"(ATE)":[24],"polarity":[27],"classification":[28],"(APC).":[29],"Previous":[30],"researches":[31],"generally":[32],"studied":[33],"subtasks":[35],"independently":[36],"designed":[38],"neural":[39],"network":[40],"models":[41],"for":[42,90,143],"ATE":[43,70,91,110,145],"APC":[45,112,147],"respectively.":[46],"However,":[47],"it":[48],"integrates":[49],"various":[50],"manual":[51,115],"features":[52,116],"into":[53],"model,":[55],"will":[57,72],"consume":[58],"plenty":[59],"computing":[61],"resources":[62],"labor.":[64],"Moreover,":[65],"quality":[67],"results":[71,131],"affect":[73],"performance":[75,140],"APC.":[77,93],"This":[78],"paper":[79],"proposes":[80],"multi-task":[82],"learning":[83],"model":[84,136],"based":[85],"on":[86,121],"dual":[87],"auxiliary":[88],"labels":[89,103],"In":[94],"this":[95],"paper,":[96],"general":[97,123],"IOB":[98,102],"labels,":[99],"sentimental":[101],"are":[104,119],"equipped":[105],"to":[106,150],"efficiently":[107],"solve":[108],"both":[109,144],"tasks":[113,148],"without":[114],"adopted.":[117],"Experiments":[118],"conducted":[120],"ABSA":[124],"benchmark":[125],"datasets":[126],"SemEval-2014.":[128],"The":[129],"experimental":[130],"reveal":[132],"that":[133],"proposed":[135],"great":[139],"efficient":[142],"compared":[149],"main":[152],"baseline":[153],"models.":[154]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
