{"id":"https://openalex.org/W3201383143","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533453","title":"Transformer-based Relation Detect Model for Aspect-based Sentiment Analysis","display_name":"Transformer-based Relation Detect Model for Aspect-based Sentiment Analysis","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3201383143","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533453","mag":"3201383143"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5014089999","display_name":"Zixi Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixi Wei","raw_affiliation_strings":["College of Computer&Information Science, Southwest University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer&Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101453596","display_name":"Xiaofei Xu","orcid":"https://orcid.org/0000-0002-9492-0312"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaofei Xu","raw_affiliation_strings":["School of Computing Technologies, RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Technologies, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004739806","display_name":"Lijian Li","orcid":"https://orcid.org/0009-0006-2009-3269"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijian Li","raw_affiliation_strings":["College of Computer&Information Science, Southwest University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer&Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070710524","display_name":"Kaixin Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixin Qin","raw_affiliation_strings":["College of Computer&Information Science, Southwest University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer&Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100360960","display_name":"Li Li","orcid":"https://orcid.org/0000-0001-5065-6022"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["College of Computer&Information Science, Southwest University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer&Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12256518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9940000176429749,"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":0.9922000169754028,"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/sentence","display_name":"Sentence","score":0.8542293310165405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7771023511886597},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.6342546939849854},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5842220783233643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5715804696083069},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5646295547485352},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5407701730728149},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.532642126083374},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4658542275428772},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4421749413013458},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1706627607345581}],"concepts":[{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.8542293310165405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7771023511886597},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.6342546939849854},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5842220783233643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5715804696083069},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5646295547485352},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5407701730728149},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.532642126083374},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4658542275428772},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4421749413013458},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1706627607345581},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8180989241","display_name":null,"funder_award_id":"61877051","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W83735515","https://openalex.org/W1522301498","https://openalex.org/W1832693441","https://openalex.org/W2106477703","https://openalex.org/W2165855670","https://openalex.org/W2250346298","https://openalex.org/W2250539671","https://openalex.org/W2250696588","https://openalex.org/W2251385138","https://openalex.org/W2529550020","https://openalex.org/W2562607067","https://openalex.org/W2606089314","https://openalex.org/W2757541972","https://openalex.org/W2776145673","https://openalex.org/W2896457183","https://openalex.org/W2962808042","https://openalex.org/W2963341956","https://openalex.org/W2963428430","https://openalex.org/W2964121744","https://openalex.org/W2964164368","https://openalex.org/W2964236337","https://openalex.org/W2971014768","https://openalex.org/W3092128817","https://openalex.org/W4236209210","https://openalex.org/W6603378657","https://openalex.org/W6631190155","https://openalex.org/W6676136386","https://openalex.org/W6727807531","https://openalex.org/W6746945705","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2039546652","https://openalex.org/W2548633793","https://openalex.org/W2941935829","https://openalex.org/W3089396779","https://openalex.org/W2354902965","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3013279174","https://openalex.org/W3132372214","https://openalex.org/W1984947604"],"abstract_inverted_index":{"Aspect-based":[0],"sentiment":[1,8,18,64,88,230],"analysis":[2,19],"(ABSA)":[3],"aims":[4],"to":[5,53,180,207,218],"detect":[6,62],"the":[7,28,55,59,63,68,76,80,111,120,133,182,186,190,209,220,227,235],"polarities":[9],"of":[10,24,58,75,144,192,195,229,237],"a":[11,14,22,35,38,151,163],"sentence":[12,60,96,126,211,221],"with":[13,90,262],"given":[15,31],"aspect.":[16],"Aspect-term":[17],"(ATSA)":[20],"is":[21,30,205],"subtask":[23],"ABSA,":[25],"in":[26,40,95,125,154,185,212,226],"ATSA,":[27],"aspect":[29,33,77,121,145,183,224],"by":[32,66],"term:":[34],"word":[36],"or":[37,50],"phrase":[39],"sentence.":[41,156,187],"In":[42],"previous":[43],"work,":[44],"most":[45],"models":[46],"apply":[47],"attention":[48],"mechanism":[49,52],"gating":[51],"capture":[54],"key":[56],"part":[57],"and":[61,104,172,178,199,223,247],"polarity":[65,89,118,139,231],"classifying":[67],"weighted":[69],"sum":[70],"vector,":[71],"which":[72],"are":[73],"regardless":[74],"information":[78,146,222,225],"during":[79],"classification.":[81,232],"However,":[82],"same":[83,134],"contexts":[84],"may":[85],"show":[86,137,254],"different":[87],"differnet":[91],"aspects.":[92],"For":[93],"example,":[94],"\u201cThe":[97,127],"scene":[98],"hunky":[99],"waiters":[100],"dub":[101,130],"diner":[102,114,131],"darling":[103],"it":[105],"sounds":[106],"like":[107],"they":[108],"mean":[109],"it.\u201d":[110],"context":[112,135],"\u201cdub":[113],"dearling\u201d":[115],"shows":[116],"negative":[117],"towards":[119,140],"term":[122,184],"\u201cwaiters\u201d.":[123],"But":[124],"diner's":[128],"husband":[129],"darling.\u201d,":[132],"would":[136,147],"neural":[138],"\u201chusband\u201d.":[141],"The":[142],"absent":[143],"make":[148],"model":[149,164,239,257],"get":[150],"wrong":[152],"result":[153],"some":[155],"To":[157],"solve":[158],"this":[159],"problem,":[160],"we":[161],"propose":[162],"called":[165],"Trasfomer-based":[166],"context-aspect":[167],"Relation":[168],"Detect":[169],"Model":[170],"(TRDM),":[171],"add":[173],"two":[174,193,241],"special":[175],"tokens":[176,196],"\u201c[CLSA]\u201d":[177],"\u201c[SEPA]\u201d":[179],"specify":[181],"TRDM":[188,217],"uses":[189],"embedding":[191],"tyes":[194],"(i.e.":[197],"\u201c[CLS]\u201d":[198,204],"\u201c[CLSA]\u201d)":[200],"for":[201],"classification":[202],"where":[203],"used":[206],"represent":[208],"entire":[210],"BERT.":[213],"This":[214],"scheme":[215],"enable":[216],"combine":[219],"step":[228],"We":[233],"evaluate":[234],"performance":[236],"our":[238,256],"on":[240],"datasets:":[242],"Restaurant":[243],"dataset":[244],"from":[245,249],"SemEval2014":[246],"MAMS":[248],"NLPCC":[250],"2020.":[251],"Experiment":[252],"results":[253],"that":[255],"obtain":[258],"noticeable":[259],"improvement":[260],"compared":[261],"state-of-art":[263],"transfromer-based":[264],"models.":[265]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}