{"id":"https://openalex.org/W4309096928","doi":"https://doi.org/10.1109/tnnls.2022.3219615","title":"DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis","display_name":"DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis","publication_year":2022,"publication_date":"2022-11-14","ids":{"openalex":"https://openalex.org/W4309096928","doi":"https://doi.org/10.1109/tnnls.2022.3219615","pmid":"https://pubmed.ncbi.nlm.nih.gov/36374886"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3219615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3219615","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5068728736","display_name":"Ruifan Li","orcid":"https://orcid.org/0000-0002-3543-6272"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifan Li","raw_affiliation_strings":["School of Artificial Intelligence, and the Engineering Research Center of Information Networks, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Ministry of Education, School of Artificial Intelligence, and the Engineering Research Center of Information Networks, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3543-6272","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, and the Engineering Research Center of Information Networks, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Ministry of Education, School of Artificial Intelligence, and the Engineering Research Center of Information Networks, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353516","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-0973-1374"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013283012","display_name":"Fangxiang Feng","orcid":"https://orcid.org/0000-0002-4798-4233"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangxiang Feng","raw_affiliation_strings":["School of Artificial Intelligence, and the Engineering Research Center of Information Networks, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Ministry of Education, School of Artificial Intelligence, and the Engineering Research Center of Information Networks, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4798-4233","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, and the Engineering Research Center of Information Networks, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Ministry of Education, School of Artificial Intelligence, and the Engineering Research Center of Information Networks, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039812471","display_name":"Zhanyu Ma","orcid":"https://orcid.org/0000-0003-2950-2488"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanyu Ma","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","Beijing Academy of Artificial Intelligence, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2950-2488","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Academy of Artificial Intelligence, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351304","display_name":"Xiaojie Wang","orcid":"https://orcid.org/0000-0003-0314-8951"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Wang","raw_affiliation_strings":["School of Artificial Intelligence, and the Engineering Research Center of Information Networks, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Ministry of Education, School of Artificial Intelligence, and the Engineering Research Center of Information Networks, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0314-8951","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, and the Engineering Research Center of Information Networks, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Ministry of Education, School of Artificial Intelligence, and the Engineering Research Center of Information Networks, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060225743","display_name":"Eduard Hovy","orcid":"https://orcid.org/0000-0002-3270-7903"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eduard Hovy","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3270-7903","affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2495,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.92847155,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"35","issue":"6","first_page":"7642","last_page":"7656"},"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":0.9954000115394592,"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":0.9930999875068665,"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":0.9168432950973511},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7016587853431702},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6682162880897522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6120359301567078},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5960313677787781},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5317080616950989},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5181006789207458},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.5055563449859619},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.48991817235946655},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4719513952732086},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13618937134742737}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9168432950973511},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7016587853431702},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6682162880897522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6120359301567078},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5960313677787781},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5317080616950989},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5181006789207458},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.5055563449859619},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.48991817235946655},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4719513952732086},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13618937134742737},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3219615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3219615","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:36374886","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36374886","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1049711278","display_name":null,"funder_award_id":"62076032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G172479822","display_name":null,"funder_award_id":"62225601","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2044554324","display_name":null,"funder_award_id":"61906018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2357889549","display_name":null,"funder_award_id":"61922015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3848188706","display_name":null,"funder_award_id":"U19B2036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7697810044","display_name":null,"funder_award_id":"Z200002","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W1501931667","https://openalex.org/W1566289585","https://openalex.org/W1913954887","https://openalex.org/W2095705004","https://openalex.org/W2096110600","https://openalex.org/W2099767163","https://openalex.org/W2250539671","https://openalex.org/W2251124635","https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2252057809","https://openalex.org/W2296438605","https://openalex.org/W2465978385","https://openalex.org/W2562607067","https://openalex.org/W2600702321","https://openalex.org/W2617378603","https://openalex.org/W2753840835","https://openalex.org/W2757541972","https://openalex.org/W2770602608","https://openalex.org/W2804000041","https://openalex.org/W2891778157","https://openalex.org/W2892071465","https://openalex.org/W2896457183","https://openalex.org/W2898812668","https://openalex.org/W2925618549","https://openalex.org/W2954278700","https://openalex.org/W2955073982","https://openalex.org/W2962808042","https://openalex.org/W2963168371","https://openalex.org/W2963240575","https://openalex.org/W2963909901","https://openalex.org/W2964164368","https://openalex.org/W2964236337","https://openalex.org/W2965373594","https://openalex.org/W2970583420","https://openalex.org/W2970641574","https://openalex.org/W2970748008","https://openalex.org/W2971087444","https://openalex.org/W2971105107","https://openalex.org/W2971220558","https://openalex.org/W2973511309","https://openalex.org/W2978017171","https://openalex.org/W2996428491","https://openalex.org/W2998641953","https://openalex.org/W3003362227","https://openalex.org/W3034206885","https://openalex.org/W3034238904","https://openalex.org/W3035529900","https://openalex.org/W3035740499","https://openalex.org/W3039458202","https://openalex.org/W3068336208","https://openalex.org/W3080358492","https://openalex.org/W3088335873","https://openalex.org/W3099190990","https://openalex.org/W3100060077","https://openalex.org/W3100451998","https://openalex.org/W3102488888","https://openalex.org/W3105033018","https://openalex.org/W3113497772","https://openalex.org/W3117670243","https://openalex.org/W3119339920","https://openalex.org/W3130007472","https://openalex.org/W3134873999","https://openalex.org/W3138129477","https://openalex.org/W3152893301","https://openalex.org/W3176719207","https://openalex.org/W4200182268","https://openalex.org/W4211186029","https://openalex.org/W4385245566","https://openalex.org/W6674330103","https://openalex.org/W6676723433","https://openalex.org/W6726873649","https://openalex.org/W6752770541","https://openalex.org/W6753114942","https://openalex.org/W6767904763","https://openalex.org/W6768021236","https://openalex.org/W6768851824"],"related_works":["https://openalex.org/W2251084681","https://openalex.org/W2098784136","https://openalex.org/W4241489294","https://openalex.org/W287510790","https://openalex.org/W2080244595","https://openalex.org/W63925617","https://openalex.org/W2968543375","https://openalex.org/W4288558800","https://openalex.org/W2888625260","https://openalex.org/W2953770453"],"abstract_inverted_index":{"The":[0,199,229],"task":[1],"of":[2,11,23,37,84,121,184,207,214],"aspect-based":[3],"sentiment":[4,9],"analysis":[5],"aims":[6],"to":[7,101,117,137,161],"identify":[8],"polarities":[10],"given":[12],"aspects":[13],"in":[14,148],"a":[15,54,61,98],"sentence.":[16,55],"Recent":[17],"advances":[18],"have":[19],"demonstrated":[20],"the":[21,25,44,68,89,93,104,111,119,122,126,149,158,166,193,204,215,226],"advantage":[22],"incorporating":[24],"syntactic":[26,87,105,123],"dependency":[27,45,94,209],"structure":[28,100,124],"with":[29,114,125,176,225],"graph":[30,99],"convolutional":[31],"networks":[32],"(GCNs).":[33],"However,":[34],"their":[35,212],"performance":[36,120,213,223],"these":[38],"GCN-based":[39,216],"methods":[40],"largely":[41],"depends":[42],"on":[43,181,240],"parsers,":[46],"which":[47],"would":[48],"produce":[49],"diverse":[50],"parsing":[51,205],"results":[52,201,206],"for":[53],"In":[56],"this":[57],"article,":[58],"we":[59,109,131,156],"propose":[60,132],"dual":[62],"GCN":[63],"(DualGCN)":[64],"that":[65,203],"jointly":[66],"considers":[67],"syntax":[69],"structures":[70],"and":[71,134,152,168,190,192,197,232,237],"semantic":[72,127,140],"correlations.":[73],"Our":[74,218],"DualGCN":[75,219],"model":[76,220],"mainly":[77],"comprises":[78],"four":[79],"modules:":[80],"1)":[81],"SynGCN:":[82],"instead":[83],"explicitly":[85],"encoding":[86],"structure,":[88],"SynGCN":[90,167],"module":[91,113,160],"uses":[92],"probability":[95],"matrix":[96],"as":[97],"implicitly":[102],"integrate":[103],"information;":[106,128],"2)":[107],"SemGCN:":[108],"design":[110],"SemGCN":[112,150,169],"multihead":[115],"attention":[116,146],"enhance":[118],"3)":[129],"Regularizers:":[130],"orthogonal":[133],"differential":[135],"regularizers":[136],"precisely":[138],"capture":[139],"correlations":[141],"between":[142,165],"words":[143],"by":[144],"constraining":[145],"scores":[147],"module;":[151],"4)":[153],"Mutual":[154],"BiAffine:":[155],"use":[157],"BiAffine":[159],"bridge":[162],"relevant":[163],"information":[164],"modules.":[170],"Extensive":[171],"experiments":[172],"are":[173,235],"conducted":[174],"compared":[175,224],"up-to-date":[177],"pretrained":[178],"language":[179],"encoders":[180],"two":[182],"groups":[183],"datasets,":[185],"one":[186],"including":[187,195],"Restaurant14,":[188],"Laptop14,":[189],"Twitter":[191],"other":[194],"Restaurant15":[196],"Restaurant16.":[198],"experimental":[200],"demonstrate":[202],"various":[208],"parsers":[210],"affect":[211],"models.":[217],"achieves":[221],"superior":[222],"state-of-the-art":[227],"approaches.":[228],"source":[230],"code":[231],"preprocessed":[233],"datasets":[234],"provided":[236],"publicly":[238],"available":[239],"GitHub":[241],"(see":[242],"https://github.com/CCChenhao997/DualGCN-ABSA).":[243]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}