{"id":"https://openalex.org/W4410505150","doi":"https://doi.org/10.1007/s41019-025-00289-8","title":"Syntactic-Enhanced Multi-Task Learning Model for Aspect Sentiment Triplet Extraction","display_name":"Syntactic-Enhanced Multi-Task Learning Model for Aspect Sentiment Triplet Extraction","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4410505150","doi":"https://doi.org/10.1007/s41019-025-00289-8"},"language":"en","primary_location":{"id":"doi:10.1007/s41019-025-00289-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-025-00289-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-025-00289-8.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41019-025-00289-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003858539","display_name":"Jiaxing Shang","orcid":"https://orcid.org/0000-0002-3152-1760"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaxing Shang","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, 400044, China","Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing University, Chongqing, 400044, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, 400044, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing University, Chongqing, 400044, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028075065","display_name":"Yuxuan Zhang","orcid":"https://orcid.org/0009-0006-4369-1990"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Zhang","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, 400044, China","Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing University, Chongqing, 400044, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, 400044, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing University, Chongqing, 400044, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101228105","display_name":"Linyang Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linyang Zhong","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, 400044, China","Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing University, Chongqing, 400044, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, 400044, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing University, Chongqing, 400044, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109067573","display_name":"Ruiyuan Li","orcid":"https://orcid.org/0000-0002-6481-0657"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiyuan Li","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, 400044, China","Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing University, Chongqing, 400044, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, 400044, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing University, Chongqing, 400044, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003858539"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":4.6863,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94310318,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"10","issue":"3","first_page":"515","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9990000128746033,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9990000128746033,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9988999962806702,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8837459087371826},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.708284854888916},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5699729919433594},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.527317225933075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5040837526321411},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4392988681793213},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0816410481929779}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8837459087371826},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.708284854888916},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5699729919433594},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.527317225933075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5040837526321411},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4392988681793213},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0816410481929779},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41019-025-00289-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-025-00289-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-025-00289-8.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:10c234aca7c6479888aff2867907fbdb","is_oa":true,"landing_page_url":"https://doaj.org/article/10c234aca7c6479888aff2867907fbdb","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science and Engineering, Vol 10, Iss 3, Pp 515-531 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41019-025-00289-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-025-00289-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-025-00289-8.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6384375446","display_name":null,"funder_award_id":"2022M720567","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8870230151","display_name":null,"funder_award_id":"U2033213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8871286114","display_name":null,"funder_award_id":"62202070","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410505150.pdf","grobid_xml":"https://content.openalex.org/works/W4410505150.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2950601686","https://openalex.org/W2950883513","https://openalex.org/W2962843214","https://openalex.org/W2965579538","https://openalex.org/W3003963580","https://openalex.org/W3034902017","https://openalex.org/W3035407080","https://openalex.org/W3037109418","https://openalex.org/W3037494510","https://openalex.org/W3088470625","https://openalex.org/W3101602207","https://openalex.org/W3105083537","https://openalex.org/W3105293920","https://openalex.org/W3174860526","https://openalex.org/W3176038554","https://openalex.org/W3176920001","https://openalex.org/W3207431201","https://openalex.org/W3211443367","https://openalex.org/W4211180993","https://openalex.org/W4281656260","https://openalex.org/W4292362209","https://openalex.org/W4293078876","https://openalex.org/W4312252361","https://openalex.org/W4312908198","https://openalex.org/W4379117130","https://openalex.org/W4383503791","https://openalex.org/W4385570782","https://openalex.org/W4385572650","https://openalex.org/W4391052842","https://openalex.org/W4392561127","https://openalex.org/W4392912716","https://openalex.org/W4394717684","https://openalex.org/W4396523216","https://openalex.org/W4396754373","https://openalex.org/W4396796939","https://openalex.org/W4402670153","https://openalex.org/W4403628189"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Abstract":[0],"Aspect":[1],"sentiment":[2,15,26,64,90,139,148,179],"triplet":[3,180],"extraction":[4,49,140],"(ASTE),":[5],"which":[6,60,106],"aims":[7],"to":[8,121,133,171],"extract":[9],"aspect":[10,63,178],"terms,":[11,13],"opinion":[12,84],"and":[14,70,89,113],"polarity":[16],"from":[17],"textual":[18],"comments,":[19],"is":[20,79,131],"a":[21,54,98,118,123,128,138,144],"crucial":[22],"task":[23,78],"in":[24,117,167,177],"aspect-based":[25],"analysis.":[27],"Most":[28],"existing":[29],"approaches":[30],"focus":[31],"on":[32,143,154],"leveraging":[33],"contextual":[34,125],"information":[35,116],"while":[36,137],"neglecting":[37],"the":[38,45,76,108,155,168],"effective":[39],"utilization":[40],"of":[41,110,165],"syntactic":[42,94],"structures":[43],"within":[44],"text.":[46],"To":[47,92],"improve":[48],"performance,":[50],"this":[51],"paper":[52],"proposes":[53],"syntax-enhanced":[55,124],"multi-task":[56],"learning":[57],"model,":[58],"SE-ASTE,":[59],"jointly":[61],"extracts":[62],"triplets":[65],"by":[66],"incorporating":[67],"syntax":[68],"connections":[69],"dependency":[71,111],"edge":[72],"type":[73],"information.":[74],"Specifically,":[75],"ASTE":[77],"decomposed":[80],"into":[81],"three":[82],"sub-tasks:":[83],"entity":[85],"extraction,":[86],"relation":[87],"detection,":[88],"extraction.":[91,181],"capture":[93],"dependencies,":[95],"we":[96],"employ":[97],"graph":[99],"convolutional":[100],"network":[101],"with":[102],"an":[103,162],"attention":[104],"mechanism,":[105],"computes":[107],"importance":[109],"edges":[112],"aggregates":[114],"node":[115],"targeted":[119],"manner":[120],"generate":[122,134],"representation.":[126],"Subsequently,":[127],"self-attention":[129],"module":[130],"utilized":[132],"task-specific":[135],"features,":[136],"module,":[141],"based":[142],"affine":[145],"scorer,":[146],"captures":[147],"relationships":[149],"between":[150],"words.":[151],"Experimental":[152],"results":[153],"ASTE-Data-V2":[156],"dataset":[157],"demonstrate":[158],"that":[159],"SE-ASTE":[160],"achieves":[161],"average":[163],"improvement":[164],"1.45%":[166],"F1-score":[169],"compared":[170],"baseline":[172],"models,":[173],"highlighting":[174],"its":[175],"effectiveness":[176]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}