{"id":"https://openalex.org/W3039458202","doi":"https://doi.org/10.1109/jas.2020.1003243","title":"Convolutional multi-head self-attention on memory for aspect sentiment classification","display_name":"Convolutional multi-head self-attention on memory for aspect sentiment classification","publication_year":2020,"publication_date":"2020-06-29","ids":{"openalex":"https://openalex.org/W3039458202","doi":"https://doi.org/10.1109/jas.2020.1003243","mag":"3039458202"},"language":"en","primary_location":{"id":"doi:10.1109/jas.2020.1003243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2020.1003243","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"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/CAA Journal of Automatica Sinica","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/A5002643603","display_name":"Yaojie Zhang","orcid":"https://orcid.org/0000-0002-4220-1623"},"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":"Yaojie Zhang","raw_affiliation_strings":["Laboratory of Machine Intelligence and Translation, Department of Computer Science, Harbin Institute of Technology, Harbin 150001, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Machine Intelligence and Translation, Department of Computer Science, Harbin Institute of Technology, Harbin 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003333136","display_name":"Bing Xu","orcid":"https://orcid.org/0000-0003-3677-1109"},"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":"Bing Xu","raw_affiliation_strings":["Laboratory of Machine Intelligence and Translation, Department of Computer Science, Harbin Institute of Technology, Harbin 150001, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Machine Intelligence and Translation, Department of Computer Science, Harbin Institute of Technology, Harbin 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101661008","display_name":"Tiejun Zhao","orcid":"https://orcid.org/0000-0003-4659-4935"},"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":"Tiejun Zhao","raw_affiliation_strings":["Laboratory of Machine Intelligence and Translation, Department of Computer Science, Harbin Institute of Technology, Harbin 150001, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Machine Intelligence and Translation, Department of Computer Science, Harbin Institute of Technology, Harbin 150001, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002643603"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":7.131,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.97586292,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"7","issue":"4","first_page":"1038","last_page":"1044"},"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/T10028","display_name":"Topic Modeling","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/T11550","display_name":"Text and Document Classification Technologies","score":0.9977999925613403,"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":0.888585090637207},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.8047283291816711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6200811862945557},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6091257333755493},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5693013668060303},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5170422196388245},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5134561657905579},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5115283727645874},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.47027498483657837},{"id":"https://openalex.org/keywords/semantic-memory","display_name":"Semantic memory","score":0.42182090878486633},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2743639349937439},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.190229594707489}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.888585090637207},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.8047283291816711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6200811862945557},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6091257333755493},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5693013668060303},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5170422196388245},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5134561657905579},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5115283727645874},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.47027498483657837},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.42182090878486633},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2743639349937439},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.190229594707489},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jas.2020.1003243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2020.1003243","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"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/CAA Journal of Automatica Sinica","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.550000011920929,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1964613733","https://openalex.org/W2064675550","https://openalex.org/W2097726431","https://openalex.org/W2129604374","https://openalex.org/W2250539671","https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2252057809","https://openalex.org/W2269911130","https://openalex.org/W2460159515","https://openalex.org/W2465978385","https://openalex.org/W2757541972","https://openalex.org/W2807614059","https://openalex.org/W2842541653","https://openalex.org/W2883402437","https://openalex.org/W2895547478","https://openalex.org/W2898642169","https://openalex.org/W2904078227","https://openalex.org/W2962808042","https://openalex.org/W2963168371","https://openalex.org/W2963403868","https://openalex.org/W2964164368"],"related_works":["https://openalex.org/W3116116498","https://openalex.org/W3029012650","https://openalex.org/W1988325893","https://openalex.org/W2776212826","https://openalex.org/W3214323197","https://openalex.org/W4385571001","https://openalex.org/W2468428963","https://openalex.org/W2805889480","https://openalex.org/W2805679416","https://openalex.org/W2188275805"],"abstract_inverted_index":{"This":[0,18],"paper":[1],"presents":[2],"a":[3,56],"method":[4],"for":[5,74],"aspect":[6],"based":[7,23],"sentiment":[8],"classification":[9],"tasks,":[10],"named":[11],"convolutional":[12],"multi-head":[13,69],"self-attention":[14,70],"memory":[15,25,48,79,99],"network":[16,80,94],"(CMA-MemNet).":[17],"is":[19],"an":[20],"improved":[21],"model":[22,133],"on":[24,55,115],"networks,":[26],"and":[27,35,41,122],"makes":[28],"it":[29],"possible":[30],"to":[31,45,51,62,71],"extract":[32],"more":[33],"rich":[34],"complex":[36],"semantic":[37,83],"information":[38,54,84],"from":[39],"sequences":[40],"aspects.":[42],"In":[43],"order":[44],"fix":[46],"the":[47,75,78,82,86,108,111,116],"network's":[49],"inability":[50],"capture":[52,63],"context-related":[53],"word-level,":[57],"we":[58,106],"propose":[59],"utilizing":[60],"convolution":[61],"n-gram":[64],"grammatical":[65],"information.":[66],"We":[67,113],"use":[68],"make":[72],"up":[73],"problem":[76],"where":[77],"ignores":[81],"of":[85,110],"sequence":[87],"itself.":[88],"Meanwhile,":[89],"unlike":[90],"most":[91],"recurrent":[92,102],"neural":[93],"(RNN)":[95],"long":[96],"short":[97],"term":[98],"(LSTM),":[100],"gated":[101],"unit":[103],"(GRU)":[104],"models,":[105],"retain":[107],"parallelism":[109],"network.":[112],"experiment":[114],"open":[117],"datasets":[118],"SemEval-2014":[119],"Task":[120,124],"4":[121],"SemEval-2016":[123],"6.":[125],"Compared":[126],"with":[127],"some":[128],"popular":[129],"baseline":[130],"methods,":[131],"our":[132],"performs":[134],"excellently.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
