{"id":"https://openalex.org/W2950864851","doi":"https://doi.org/10.18653/v1/p19-1462","title":"Context-aware Embedding for Targeted Aspect-based Sentiment Analysis","display_name":"Context-aware Embedding for Targeted Aspect-based Sentiment Analysis","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2950864851","doi":"https://doi.org/10.18653/v1/p19-1462","mag":"2950864851"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1462","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1462","pdf_url":"https://www.aclweb.org/anthology/P19-1462.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1462.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063075000","display_name":"Bin Liang","orcid":"https://orcid.org/0000-0001-7234-1347"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Liang","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology (Shenzhen), China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology (Shenzhen), China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101733762","display_name":"Jiachen Du","orcid":"https://orcid.org/0000-0002-6284-7691"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiachen Du","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology (Shenzhen), China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology (Shenzhen), China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026719663","display_name":"Ruifeng Xu","orcid":"https://orcid.org/0000-0002-4009-5679"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifeng Xu","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology (Shenzhen), China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology (Shenzhen), China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045875310","display_name":"Binyang Li","orcid":"https://orcid.org/0000-0001-9013-1386"},"institutions":[{"id":"https://openalex.org/I67636235","display_name":"University of International Relations","ror":"https://ror.org/04r72en83","country_code":"CN","type":"education","lineage":["https://openalex.org/I67636235"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binyang Li","raw_affiliation_strings":["School of Information Science and Technology, University of International Relations, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of International Relations, Beijing, China","institution_ids":["https://openalex.org/I67636235"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006819425","display_name":"Hejiao Huang","orcid":"https://orcid.org/0000-0002-2030-957X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hejiao Huang","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology (Shenzhen), China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology (Shenzhen), China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063075000"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":5.7806,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.96782449,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4678","last_page":"4683"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.994700014591217,"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":0.9832000136375427,"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":0.8302392959594727},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7825359106063843},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7016761302947998},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7008742094039917},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6209397315979004},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6127299666404724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5659981369972229},{"id":"https://openalex.org/keywords/correlative","display_name":"Correlative","score":0.5454472303390503},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5164577960968018},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4557173252105713},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3466866612434387},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3302127718925476},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3277626633644104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8302392959594727},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7825359106063843},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7016761302947998},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7008742094039917},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6209397315979004},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6127299666404724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5659981369972229},{"id":"https://openalex.org/C2776800370","wikidata":"https://www.wikidata.org/wiki/Q5172864","display_name":"Correlative","level":2,"score":0.5454472303390503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5164577960968018},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4557173252105713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3466866612434387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3302127718925476},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3277626633644104},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1462","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1462","pdf_url":"https://www.aclweb.org/anthology/P19-1462.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1462","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1462","pdf_url":"https://www.aclweb.org/anthology/P19-1462.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"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/G131675355","display_name":null,"funder_award_id":"U163610","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2071443865","display_name":null,"funder_award_id":"201805","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/G2981938667","display_name":null,"funder_award_id":"Shenzhen","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3110231696","display_name":null,"funder_award_id":"U1636103","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/G3757194791","display_name":null,"funder_award_id":"JCYJ20","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4044553146","display_name":null,"funder_award_id":"817140","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4165806713","display_name":null,"funder_award_id":"61632011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5311346577","display_name":null,"funder_award_id":"2018001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5641397543","display_name":null,"funder_award_id":"201708","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/G6114143109","display_name":null,"funder_award_id":"61876053","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/F4320335774","display_name":"Key Technologies Research and Development Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2950864851.pdf","grobid_xml":"https://content.openalex.org/works/W2950864851.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W2187089797","https://openalex.org/W2250539671","https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2536725458","https://openalex.org/W2562607067","https://openalex.org/W2593051978","https://openalex.org/W2757541972","https://openalex.org/W2760392765","https://openalex.org/W2788810909","https://openalex.org/W2798984401","https://openalex.org/W2799009183","https://openalex.org/W2890240222","https://openalex.org/W2952620744","https://openalex.org/W2963168371","https://openalex.org/W2963963145","https://openalex.org/W2964288660"],"related_works":["https://openalex.org/W105375074","https://openalex.org/W2339526560","https://openalex.org/W2387320793","https://openalex.org/W2352463546","https://openalex.org/W2350815377","https://openalex.org/W2807802103","https://openalex.org/W2381820961","https://openalex.org/W2492309942","https://openalex.org/W2548781572","https://openalex.org/W2366249940"],"abstract_inverted_index":{"Attention-based":[0],"neural":[1],"models":[2],"were":[3],"employed":[4],"to":[5,67,84],"detect":[6],"the":[7,14,46,55,69,86,93,96,106,129],"different":[8,51],"aspects":[9,35,44,101],"and":[10,34,53,73,90,100],"sentiment":[11,20],"polarities":[12],"of":[13,71,88,98,111],"same":[15,47],"target":[16,89],"in":[17,36,41,50,132],"targeted":[18],"aspectbased":[19],"analysis":[21],"(TABSA).":[22],"However,":[23],"existing":[24],"methods":[25],"do":[26],"not":[27],"specifically":[28],"pre-train":[29],"reasonable":[30],"embeddings":[31,70,87,97],"for":[32],"targets":[33,42,72,99],"TABSA.":[37],"This":[38],"may":[39],"result":[40],"or":[43,114],"having":[45],"vector":[48,83],"representations":[49],"contexts":[52],"losing":[54],"contextdependent":[56],"information.":[57],"To":[58],"address":[59],"this":[60],"problem,":[61],"we":[62],"propose":[63],"a":[64,80],"novel":[65],"method":[66],"refine":[68],"aspects.":[74],"Such":[75],"pivotal":[76],"embedding":[77],"refinement":[78],"utilizes":[79],"sparse":[81],"coefficient":[82],"adjust":[85],"aspect":[91],"from":[92,105],"context.":[94],"Hence":[95],"can":[102],"be":[103],"refined":[104],"highly":[107],"correlative":[108],"words":[109],"instead":[110],"using":[112],"context-independent":[113],"randomly":[115],"initialized":[116],"vectors.":[117],"Experiment":[118],"results":[119],"on":[120],"two":[121],"benchmark":[122],"datasets":[123],"show":[124],"that":[125],"our":[126],"approach":[127],"yields":[128],"state-of-the-art":[130],"performance":[131],"TABSA":[133],"task.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}