{"id":"https://openalex.org/W4388463935","doi":"https://doi.org/10.1145/3627806","title":"Speaker-Aware Interactive Graph Attention Network for Emotion Recognition in Conversation","display_name":"Speaker-Aware Interactive Graph Attention Network for Emotion Recognition in Conversation","publication_year":2023,"publication_date":"2023-11-07","ids":{"openalex":"https://openalex.org/W4388463935","doi":"https://doi.org/10.1145/3627806"},"language":"en","primary_location":{"id":"doi:10.1145/3627806","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627806","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","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/A5017935525","display_name":"Zhaohong Jia","orcid":"https://orcid.org/0000-0001-6607-7025"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohong Jia","raw_affiliation_strings":["Anhui University, China"],"raw_orcid":"https://orcid.org/0000-0001-6607-7025","affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103103016","display_name":"Yunwei Shi","orcid":"https://orcid.org/0000-0002-1421-3918"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunwei Shi","raw_affiliation_strings":["Anhui University, Hefei Comprehensive National Science Center, China"],"raw_orcid":"https://orcid.org/0000-0002-1421-3918","affiliations":[{"raw_affiliation_string":"Anhui University, Hefei Comprehensive National Science Center, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444141","display_name":"Weifeng Liu","orcid":"https://orcid.org/0000-0001-9385-263X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng Liu","raw_affiliation_strings":["Anhui University, China"],"raw_orcid":"https://orcid.org/0000-0001-9385-263X","affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103082016","display_name":"Zhenhua Huang","orcid":"https://orcid.org/0000-0003-3178-9721"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Huang","raw_affiliation_strings":["Anhui University, China"],"raw_orcid":"https://orcid.org/0000-0003-3178-9721","affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088062069","display_name":"Xiao Sun","orcid":"https://orcid.org/0000-0001-9750-7032"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Sun","raw_affiliation_strings":["Hefei University of Technology, Hefei Comprehensive National Science Center, China"],"raw_orcid":"https://orcid.org/0000-0001-9750-7032","affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei Comprehensive National Science Center, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3053,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84617108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"12","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.9987000226974487,"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":0.9955000281333923,"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/conversation","display_name":"Conversation","score":0.8146531581878662},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.7792030572891235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7740770578384399},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5189316272735596},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.44819557666778564},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.44470512866973877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40038207173347473},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3593619465827942},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.282772421836853},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.1364322304725647},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09198853373527527}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.8146531581878662},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.7792030572891235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7740770578384399},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5189316272735596},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.44819557666778564},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.44470512866973877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40038207173347473},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3593619465827942},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.282772421836853},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.1364322304725647},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09198853373527527}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627806","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627806","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.800000011920929,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3110226609","display_name":null,"funder_award_id":"62376084","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5197782107","display_name":"\u9762\u5411\u5ba2\u6237\u9700\u6c42\u7684\u667a\u80fd\u670d\u52a1\u5355\u5143\u52a8\u6001\u96c6\u6210\u4f18\u5316\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"71971002","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2146334809","https://openalex.org/W2251394420","https://openalex.org/W2519887557","https://openalex.org/W2560674852","https://openalex.org/W2600756564","https://openalex.org/W2730845691","https://openalex.org/W2740550900","https://openalex.org/W2891359673","https://openalex.org/W2963686995","https://openalex.org/W2963873807","https://openalex.org/W2964015378","https://openalex.org/W2964300796","https://openalex.org/W2965373594","https://openalex.org/W2970431814","https://openalex.org/W2985882473","https://openalex.org/W2990138404","https://openalex.org/W3017402509","https://openalex.org/W3034239264","https://openalex.org/W3037611961","https://openalex.org/W3038471032","https://openalex.org/W3040953174","https://openalex.org/W3097537783","https://openalex.org/W3099056802","https://openalex.org/W3113800548","https://openalex.org/W3116705004","https://openalex.org/W3120680448","https://openalex.org/W3154920485","https://openalex.org/W3202775307","https://openalex.org/W3203741465","https://openalex.org/W3207810231","https://openalex.org/W4238634189","https://openalex.org/W4238846128","https://openalex.org/W4365799947"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W1968552888","https://openalex.org/W3133700904","https://openalex.org/W3200266554","https://openalex.org/W4392094631","https://openalex.org/W4389995241","https://openalex.org/W4320149722","https://openalex.org/W3213655484","https://openalex.org/W3018957386","https://openalex.org/W4404025060"],"abstract_inverted_index":{"Recently,":[0],"E":[1],"motion":[2],"R":[3],"ecognition":[4],"in":[5,19,29,52,124,147],"C":[6],"onversation":[7],"(ERC)":[8],"has":[9,14],"attracted":[10],"much":[11],"attention":[12,132],"and":[13,63,129,144,151,165],"become":[15],"a":[16,49,95,120,126,148],"hot":[17],"topic":[18],"the":[20,42,53,60,64,68,82,114,142,160,167,178,186],"field":[21],"of":[22,59,85,138,163],"natural":[23],"language":[24],"processing.":[25],"Conversation":[26],"is":[27,34,119,134,140],"conducted":[28],"chronological":[30],"order;":[31],"current":[32],"utterance":[33],"more":[35],"likely":[36],"influenced":[37],"by":[38],"nearby":[39],"utterances.":[40],"At":[41],"same":[43],"time,":[44],"speaker":[45],"dependency":[46],"also":[47],"plays":[48],"core":[50,117],"role":[51],"conversation":[54],"dynamic.":[55],"The":[56,116,136],"combined":[57],"effect":[58],"sequence-aware":[61,145],"information":[62,66,77,86,146],"speaker-aware":[65,143],"makes":[67],"emotion\u2019s":[69],"dynamic":[70],"change.":[71],"However,":[72],"past":[73],"works":[74],"used":[75],"simple":[76],"fusion":[78],"methods":[79],"to":[80,112],"model":[81,159],"two":[83],"kinds":[84],"but":[87],"ignored":[88],"their":[89],"interactive":[90,122,161],"influence.":[91],"Thus,":[92],"we":[93,158],"propose":[94],"novel":[96],"method":[97],"entitled":[98],"SIGAT":[99,139,184],"(":[100],"S":[101],"peaker-aware":[102],"I":[103],"nteractive":[104],"G":[105],"raph":[106],"A":[107],"ttention":[108],"Ne":[109],"t":[110],"work)":[111],"solve":[113],"problem.":[115],"module":[118,123],"mutual":[121],"which":[125,170],"dual-connection":[127],"(self-connection":[128],"interact-connection)":[130],"graph":[131,150],"network":[133],"constructed.":[135],"advantage":[137],"modeling":[141],"unified":[149],"updating":[152],"them":[153,164],"simultaneously.":[154],"In":[155],"this":[156],"way,":[157],"influence":[162],"obtain":[166],"final":[168],"representations,":[169],"have":[171],"richer":[172],"contextual":[173],"clues.":[174],"Experimental":[175],"results":[176],"on":[177],"four":[179],"public":[180],"datasets":[181],"demonstrate":[182],"that":[183],"outperforms":[185],"state-of-the-art":[187],"models.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}