{"id":"https://openalex.org/W4396754373","doi":"https://doi.org/10.1109/taffc.2024.3397961","title":"SynSem-ASTE: An Enhanced Multi-Encoder Network for Aspect Sentiment Triplet Extraction With Syntax and Semantics","display_name":"SynSem-ASTE: An Enhanced Multi-Encoder Network for Aspect Sentiment Triplet Extraction With Syntax and Semantics","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396754373","doi":"https://doi.org/10.1109/taffc.2024.3397961"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2024.3397961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2024.3397961","pdf_url":null,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114948787","display_name":"Lulin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lulin Liu","raw_affiliation_strings":["Moe Key Lab for Intelligence Network and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0000-4726-1257","affiliations":[{"raw_affiliation_string":"Moe Key Lab for Intelligence Network and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062913166","display_name":"Tao Qin","orcid":"https://orcid.org/0000-0003-4874-2567"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Qin","raw_affiliation_strings":["Moe Key Lab for Intelligence Network and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-4874-2567","affiliations":[{"raw_affiliation_string":"Moe Key Lab for Intelligence Network and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114158605","display_name":"Yuankun Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuankun Zhou","raw_affiliation_strings":["Moe Key Lab for Intelligence Network and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0004-9668-5979","affiliations":[{"raw_affiliation_string":"Moe Key Lab for Intelligence Network and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455048","display_name":"Chenxu Wang","orcid":"https://orcid.org/0000-0002-9539-5046"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxu Wang","raw_affiliation_strings":["Moe Key Lab for Intelligence Network and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-9539-5046","affiliations":[{"raw_affiliation_string":"Moe Key Lab for Intelligence Network and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075845093","display_name":"Xiaohong Guan","orcid":"https://orcid.org/0000-0002-8826-0362"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Guan","raw_affiliation_strings":["Moe Key Lab for Intelligence Network and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-8826-0362","affiliations":[{"raw_affiliation_string":"Moe Key Lab for Intelligence Network and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":1.7915,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86729945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"4","first_page":"2097","last_page":"2111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9948999881744385,"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":0.9948999881744385,"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":0.9757000207901001,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9375,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.7629846334457397},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.7385738492012024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6588829755783081},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6406626105308533},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5159231424331665},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4934505522251129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47352099418640137},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3417584300041199},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.12079182267189026},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.06496685743331909}],"concepts":[{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.7629846334457397},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7385738492012024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6588829755783081},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6406626105308533},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5159231424331665},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4934505522251129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47352099418640137},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3417584300041199},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.12079182267189026},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06496685743331909},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2024.3397961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2024.3397961","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G6000451536","display_name":null,"funder_award_id":"62172324","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8176576550","display_name":null,"funder_award_id":"62272379","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":53,"referenced_works":["https://openalex.org/W2141631351","https://openalex.org/W2160660844","https://openalex.org/W2251089481","https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2252057809","https://openalex.org/W2465978385","https://openalex.org/W2553002154","https://openalex.org/W2604205681","https://openalex.org/W2891778157","https://openalex.org/W2896457183","https://openalex.org/W2948947170","https://openalex.org/W2963063806","https://openalex.org/W2965373594","https://openalex.org/W2965510113","https://openalex.org/W2970862333","https://openalex.org/W2971220558","https://openalex.org/W2972324944","https://openalex.org/W2978004179","https://openalex.org/W2998446468","https://openalex.org/W3037109418","https://openalex.org/W3101602207","https://openalex.org/W3105083537","https://openalex.org/W3105293920","https://openalex.org/W3135703617","https://openalex.org/W3138389337","https://openalex.org/W3174860526","https://openalex.org/W3176038554","https://openalex.org/W3177239031","https://openalex.org/W4211036025","https://openalex.org/W4225987007","https://openalex.org/W4229948749","https://openalex.org/W4235743066","https://openalex.org/W4285277253","https://openalex.org/W4287854530","https://openalex.org/W4288089799","https://openalex.org/W4382202817","https://openalex.org/W4383503791","https://openalex.org/W4385245566","https://openalex.org/W4386566712","https://openalex.org/W4388123243","https://openalex.org/W4389519239","https://openalex.org/W4389524443","https://openalex.org/W4401042286","https://openalex.org/W6682133854","https://openalex.org/W6757817989","https://openalex.org/W6766673545","https://openalex.org/W6769627184","https://openalex.org/W6779068807","https://openalex.org/W6846047116","https://openalex.org/W6853186988","https://openalex.org/W6855062919","https://openalex.org/W6856033174"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W4391150403","https://openalex.org/W2081749821","https://openalex.org/W1968572830","https://openalex.org/W2090814745","https://openalex.org/W2788308474","https://openalex.org/W2029896371","https://openalex.org/W2136497797"],"abstract_inverted_index":{"Aspect":[0],"Sentiment":[1],"Triplet":[2],"Extraction":[3],"(ASTE)":[4],"is":[5,108],"an":[6,80,129],"essential":[7],"task":[8],"in":[9,151,165],"fine-grained":[10],"opinion":[11,24],"mining":[12],"and":[13,26,56,68,88,97,104,117,128],"sentiment":[14,29],"analysis":[15],"that":[16,144],"involves":[17],"extracting":[18],"triplets":[19,135],"consisting":[20],"of":[21,66,113,153],"aspect":[22],"terms,":[23,25],"their":[27],"associated":[28],"polarities":[30],"from":[31,101],"texts.":[32],"While":[33],"prevailing":[34],"approaches":[35],"primarily":[36],"adopt":[37,123],"pipeline":[38],"frameworks":[39],"or":[40,60],"unified":[41],"tagging":[42,126],"schemes":[43],"for":[44,64,84],"this":[45],"task,":[46],"these":[47,76],"methods":[48],"tend":[49],"to":[50,133],"either":[51],"overlook":[52],"syntactic":[53,95,102],"structural":[54],"information":[55,96],"inherent":[57],"semantic":[58,98],"features,":[59],"lack":[61],"explicit":[62],"mechanisms":[63],"integration":[65],"syntax":[67,115],"semantics":[69,119],"among":[70],"the":[71,111,154],"triplets'":[72],"elements.":[73],"To":[74],"overcome":[75],"shortcomings,":[77],"we":[78,122],"propose":[79],"Enhanced":[81],"Multi-Encoder":[82],"Network":[83],"ASTE":[85],"with":[86],"Syntax":[87],"Semantics":[89],"(SynSem-ASTE).":[90],"Our":[91],"model":[92,166],"innovatively":[93],"incorporates":[94],"features":[99],"derived":[100],"structures":[103],"attention":[105],"weights,":[106],"which":[107],"achieved":[109],"through":[110],"design":[112],"a":[114,118,124],"encoder":[116],"encoder.":[120],"Furthermore,":[121],"grid":[125],"scheme":[127],"effective":[130],"inference":[131],"strategy":[132],"extract":[134],"simultaneously.":[136],"Extensive":[137],"evaluations":[138],"on":[139],"four":[140],"benchmark":[141],"datasets":[142],"reveal":[143],"SynSem-ASTE":[145],"not":[146],"only":[147],"achieves":[148],"superior":[149],"performance":[150],"terms":[152],"primary":[155],"metric":[156],"F1-score,":[157],"but":[158],"also":[159],"exhibits":[160],"enhanced":[161],"robustness":[162],"against":[163],"variations":[164],"architecture.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
