{"id":"https://openalex.org/W4200068033","doi":"https://doi.org/10.1109/cisp-bmei53629.2021.9624384","title":"Combining Adversarial Training and Relational Graph Attention Network for Aspect-Based Sentiment Analysis with BERT","display_name":"Combining Adversarial Training and Relational Graph Attention Network for Aspect-Based Sentiment Analysis with BERT","publication_year":2021,"publication_date":"2021-10-23","ids":{"openalex":"https://openalex.org/W4200068033","doi":"https://doi.org/10.1109/cisp-bmei53629.2021.9624384"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei53629.2021.9624384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei53629.2021.9624384","pdf_url":null,"source":{"id":"https://openalex.org/S4363605805","display_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-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/A5101661861","display_name":"Mingfei Chen","orcid":"https://orcid.org/0009-0003-2653-6073"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingfei Chen","raw_affiliation_strings":["Yunnan Normal University,School of Information Science and Technology,Kunming,Yunnan,P. R. China,650500"],"affiliations":[{"raw_affiliation_string":"Yunnan Normal University,School of Information Science and Technology,Kunming,Yunnan,P. R. China,650500","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061089304","display_name":"Wencong Wu","orcid":"https://orcid.org/0000-0001-9067-9667"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wencong Wu","raw_affiliation_strings":["Yunnan Normal University,School of Information Science and Technology,Kunming,Yunnan,P. R. China,650500"],"affiliations":[{"raw_affiliation_string":"Yunnan Normal University,School of Information Science and Technology,Kunming,Yunnan,P. R. China,650500","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103086350","display_name":"Yungang Zhang","orcid":"https://orcid.org/0000-0002-8279-3109"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yungang Zhang","raw_affiliation_strings":["Yunnan Normal University,School of Information Science and Technology,Kunming,Yunnan,P. R. China,650500"],"affiliations":[{"raw_affiliation_string":"Yunnan Normal University,School of Information Science and Technology,Kunming,Yunnan,P. R. China,650500","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082574586","display_name":"Ziyun Zhou","orcid":"https://orcid.org/0000-0002-2741-2844"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziyun Zhou","raw_affiliation_strings":["Information Center of Yunnan Administration for Market Regulation,Kunming,Yunnan,P. R. China,650228"],"affiliations":[{"raw_affiliation_string":"Information Center of Yunnan Administration for Market Regulation,Kunming,Yunnan,P. R. China,650228","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101661861"],"corresponding_institution_ids":["https://openalex.org/I120825670"],"apc_list":null,"apc_paid":null,"fwci":0.377,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59964479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10028","display_name":"Topic Modeling","score":0.9962999820709229,"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":0.9944999814033508,"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":0.8373975157737732},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7879799604415894},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.731428325176239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7111054062843323},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5637443661689758},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5313135981559753},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5127809643745422},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5017845630645752},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4922539293766022},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46362948417663574},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.44706398248672485},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4298238754272461},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24670559167861938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8373975157737732},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7879799604415894},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.731428325176239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7111054062843323},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5637443661689758},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5313135981559753},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5127809643745422},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5017845630645752},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4922539293766022},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46362948417663574},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.44706398248672485},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4298238754272461},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24670559167861938},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei53629.2021.9624384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei53629.2021.9624384","pdf_url":null,"source":{"id":"https://openalex.org/S4363605805","display_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1191143895","display_name":null,"funder_award_id":"202001AT070077","funder_id":"https://openalex.org/F4320325440","funder_display_name":"Yunnan Provincial Science and Technology Department"},{"id":"https://openalex.org/G7901655123","display_name":null,"funder_award_id":"61863037","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/F4320325440","display_name":"Yunnan Provincial Science and Technology Department","ror":"https://ror.org/03whqdf70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W202303397","https://openalex.org/W1832693441","https://openalex.org/W2153513200","https://openalex.org/W2157331557","https://openalex.org/W2251124635","https://openalex.org/W2251648804","https://openalex.org/W2252024663","https://openalex.org/W2252057809","https://openalex.org/W2552110825","https://openalex.org/W2562607067","https://openalex.org/W2896457183","https://openalex.org/W2903110172","https://openalex.org/W2912503608","https://openalex.org/W2952357537","https://openalex.org/W2955633839","https://openalex.org/W2962946486","https://openalex.org/W2963653811","https://openalex.org/W2963909901","https://openalex.org/W2963925437","https://openalex.org/W2971220558","https://openalex.org/W3013708524","https://openalex.org/W3035529900","https://openalex.org/W3101540846","https://openalex.org/W3105174597","https://openalex.org/W3106996681","https://openalex.org/W3163014027","https://openalex.org/W4293846201","https://openalex.org/W4300996741","https://openalex.org/W4385245566","https://openalex.org/W6608351394","https://openalex.org/W6729856301","https://openalex.org/W6730161283","https://openalex.org/W6739868092","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6764456104"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W3186997021","https://openalex.org/W4200618314","https://openalex.org/W4308088897","https://openalex.org/W4286432911"],"abstract_inverted_index":{"Aspect-Based":[0,20],"Sentiment":[1,8,21],"Analysis":[2,22],"(ABSA),":[3],"also":[4,110],"called":[5],"Aspect":[6],"Level":[7],"Classification":[9],"(ALSC),":[10],"is":[11,62,89,98,124,155],"a":[12,39],"common":[13],"task":[14],"in":[15,32,139],"Natural":[16],"Language":[17],"Processing":[18],"(NLP).":[19],"mainly":[23],"aims":[24],"to":[25,91,100,116,132,158],"extract":[26,92],"and":[27,76],"classify":[28],"the":[29,63,86,93,102,118,133,140,152,159],"sentiments":[30],"objects":[31],"texts.":[33],"In":[34,82],"this":[35],"paper,":[36],"we":[37],"propose":[38],"novel":[40],"BERT-based":[41],"ABSA":[42],"model,":[43,85],"which":[44,123],"combines":[45],"an":[46,112],"adversarial":[47,69,113,137],"training":[48,114],"procedure":[49],"with":[50],"relational":[51,71],"graph":[52,72],"attention":[53,73],"neural":[54,74,121],"network":[55,75],"(R-GAT).":[56],"To":[57],"our":[58,83],"best":[59],"knowledge,":[60],"it":[61],"first":[64],"model":[65,109,154],"that":[66,151],"simultaneously":[67],"using":[68,136],"training,":[70],"BERT":[77,87],"for":[78],"aspect-based":[79],"sentiment":[80],"analysis.":[81],"proposed":[84,108,153],"Encoder":[88],"used":[90],"context":[94],"feature":[95],"vector,":[96],"R-GAT":[97],"applied":[99],"integrate":[101],"typed":[103],"syntactic":[104],"dependency":[105],"information.":[106],"The":[107],"includes":[111],"method":[115],"ensure":[117],"robustness":[119],"of":[120],"network,":[122],"realized":[125],"by":[126],"artificially":[127],"increasing":[128],"data":[129],"samples":[130],"similar":[131],"real-world":[134],"examples":[135],"processes":[138],"embedding":[141],"space.":[142],"Our":[143],"experimental":[144],"results":[145],"on":[146],"three":[147],"benchmark":[148],"datasets":[149],"demonstrate":[150],"competitive":[156],"compared":[157],"other":[160],"state-of-the-art":[161],"methods.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}