{"id":"https://openalex.org/W4383503791","doi":"https://doi.org/10.1109/taffc.2023.3291730","title":"Encoding Syntactic Information into Transformers for Aspect-Based Sentiment Triplet Extraction","display_name":"Encoding Syntactic Information into Transformers for Aspect-Based Sentiment Triplet Extraction","publication_year":2023,"publication_date":"2023-07-07","ids":{"openalex":"https://openalex.org/W4383503791","doi":"https://doi.org/10.1109/taffc.2023.3291730"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2023.3291730","is_oa":true,"landing_page_url":"https://doi.org/10.1109/taffc.2023.3291730","pdf_url":"https://ieeexplore.ieee.org/ielx7/5165369/5520654/10175600.pdf","source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/5165369/5520654/10175600.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048565908","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0003-3925-6225"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yuan","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0003-3925-6225","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113414416","display_name":"Jin Wang","orcid":"https://orcid.org/0000-0002-8298-4378"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Wang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-8298-4378","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085633092","display_name":"Liang-Chih Yu","orcid":"https://orcid.org/0000-0003-1443-4347"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Liang-Chih Yu","raw_affiliation_strings":["Department of Information Management, Yuan Ze University, Taoyuan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-1443-4347","affiliations":[{"raw_affiliation_string":"Department of Information Management, Yuan Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100707916","display_name":"Xuejie Zhang","orcid":"https://orcid.org/0000-0002-6591-0916"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejie Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-6591-0916","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.6762,"has_fulltext":true,"cited_by_count":61,"citation_normalized_percentile":{"value":0.98524405,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"15","issue":"2","first_page":"722","last_page":"735"},"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":0.9984999895095825,"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":0.9921000003814697,"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":0.7337746620178223},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6194220185279846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5712892413139343},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.564795732498169},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5578041076660156},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.5230394601821899},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.44483891129493713},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.4341374933719635},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.41957271099090576},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3440468907356262},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2886274456977844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7337746620178223},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6194220185279846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5712892413139343},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.564795732498169},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5578041076660156},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.5230394601821899},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.44483891129493713},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.4341374933719635},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.41957271099090576},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3440468907356262},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2886274456977844},{"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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2023.3291730","is_oa":true,"landing_page_url":"https://doi.org/10.1109/taffc.2023.3291730","pdf_url":"https://ieeexplore.ieee.org/ielx7/5165369/5520654/10175600.pdf","source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/taffc.2023.3291730","is_oa":true,"landing_page_url":"https://doi.org/10.1109/taffc.2023.3291730","pdf_url":"https://ieeexplore.ieee.org/ielx7/5165369/5520654/10175600.pdf","source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G3061438829","display_name":"\u57fa\u4e8e\u591a\u7ef4\u5ea6\u8fde\u7eed\u60c5\u611f\u7a7a\u95f4\u7684\u6587\u672c\u751f\u6210\u6280\u672f\u7814\u7a76","funder_award_id":"61966038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6961620611","display_name":null,"funder_award_id":"MOST111-2628-E-155-001-MY2","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G6998192050","display_name":null,"funder_award_id":"MOST110-2628-E-155-002","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4383503791.pdf","grobid_xml":"https://content.openalex.org/works/W4383503791.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1980867644","https://openalex.org/W2064675550","https://openalex.org/W2165855670","https://openalex.org/W2250539671","https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2253519362","https://openalex.org/W2465978385","https://openalex.org/W2562607067","https://openalex.org/W2604205681","https://openalex.org/W2741252866","https://openalex.org/W2751820697","https://openalex.org/W2753840835","https://openalex.org/W2757541972","https://openalex.org/W2766718178","https://openalex.org/W2780698117","https://openalex.org/W2903110172","https://openalex.org/W2946015932","https://openalex.org/W2949660355","https://openalex.org/W2950601686","https://openalex.org/W2962808042","https://openalex.org/W2963063806","https://openalex.org/W2963264961","https://openalex.org/W2965373594","https://openalex.org/W2965510113","https://openalex.org/W2969743835","https://openalex.org/W2970895602","https://openalex.org/W2997194369","https://openalex.org/W2998446468","https://openalex.org/W3003963580","https://openalex.org/W3077780682","https://openalex.org/W3081228062","https://openalex.org/W3093816678","https://openalex.org/W3098042509","https://openalex.org/W3098363382","https://openalex.org/W3099409556","https://openalex.org/W3101602207","https://openalex.org/W3105083537","https://openalex.org/W3105293920","https://openalex.org/W3138389337","https://openalex.org/W3167287584","https://openalex.org/W3167830325","https://openalex.org/W3174860526","https://openalex.org/W3176920001","https://openalex.org/W3196474414","https://openalex.org/W3210828003","https://openalex.org/W4289525790","https://openalex.org/W4291910423","https://openalex.org/W4294791692","https://openalex.org/W4294982692","https://openalex.org/W4367353919","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6676723433","https://openalex.org/W6727807531","https://openalex.org/W6729856301","https://openalex.org/W6766673545"],"related_works":["https://openalex.org/W2098784136","https://openalex.org/W4241489294","https://openalex.org/W2080244595","https://openalex.org/W63925617","https://openalex.org/W2252142543","https://openalex.org/W122365991","https://openalex.org/W2151754849","https://openalex.org/W3123290982","https://openalex.org/W3153965608","https://openalex.org/W4285169662"],"abstract_inverted_index":{"<italic":[0,189],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[1,190],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Aspect-based":[2],"sentiment":[3,21,33],"triplet":[4],"extraction</i>":[5],"(ASTE)":[6],"aims":[7],"to":[8,65,76,83,95,106,120,138,151,173,195,203],"extract":[9],"triplets":[10],"consisting":[11],"of":[12,31,108,127,149,178,181],"aspect":[13,56,123],"terms":[14,19],"and":[15,20,28,57,112,162],"their":[16,174],"associated":[17],"opinion":[18,60,93],"polarities":[22],"from":[23,91],"sentences,":[24],"a":[25,78,100,132,183],"relatively":[26],"new":[27],"challenging":[29],"subtask":[30],"aspect-based":[32],"analysis":[34],"(ABSA).":[35],"Previous":[36],"studies":[37],"have":[38],"used":[39,187],"either":[40],"pipeline":[41],"models":[42,49,220],"or":[43],"unified":[44],"tagging":[45],"schema":[46],"models.":[47],"These":[48],"ignore":[50],"the":[51,55,89,92,96,109,121,125,140,146,168,200,214],"syntactic":[52,85,104,197],"relationships":[53],"between":[54],"its":[58],"corresponding":[59],"words,":[61],"which":[62],"leads":[63],"them":[64],"mistakenly":[66],"focus":[67],"on":[68,208],"syntactically":[69],"unrelated":[70,118],"words.":[71],"One":[72],"feasible":[73],"option":[74],"is":[75,136],"use":[77],"graph":[79,128],"convolution":[80],"network":[81],"(GCN)":[82],"exploit":[84],"information":[86,198],"by":[87,143],"propagating":[88],"representation":[90,202],"words":[94,119],"aspect.":[97],"However,":[98],"such":[99],"method":[101],"considers":[102],"all":[103],"dependencies":[105],"be":[107],"same":[110,169],"type":[111,171,177],"thus":[113],"may":[114],"still":[115],"incorrectly":[116],"associate":[117],"target":[122],"through":[124],"iterations":[126],"convolutional":[129],"propagation.":[130,154],"Herein,":[131],"syntax-aware":[133],"transformer":[134,194],"(SA-Transformer)":[135],"proposed":[137,156,215],"extend":[139],"GCN":[141,184],"strategy":[142],"fully":[144],"exploiting":[145],"dependency":[147,170,176],"types":[148],"edges":[150,166],"block":[152],"inappropriate":[153],"The":[155],"approach":[157],"can":[158],"obtain":[159],"different":[160],"representations":[161],"weights":[163],"even":[164],"for":[165,221],"with":[167],"according":[172],"adjacent":[175],"edges.":[179],"Instead":[180],"using":[182],"layer,":[185],"we":[186],"an":[188],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">L</i>":[191],"-layer":[192],"SA":[193],"encode":[196],"in":[199],"word-pair":[201],"improve":[204],"performance.":[205],"Experimental":[206],"results":[207],"four":[209],"benchmark":[210],"datasets":[211],"show":[212],"that":[213],"model":[216],"outperforms":[217],"various":[218],"previous":[219],"ASTE.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
