{"id":"https://openalex.org/W3199283535","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533767","title":"A Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness","display_name":"A Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3199283535","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533767","mag":"3199283535"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5058185458","display_name":"Qixuan Sun","orcid":"https://orcid.org/0000-0002-7149-4912"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixuan Sun","raw_affiliation_strings":["School of Software Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025585030","display_name":"Yaqi Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqi Yin","raw_affiliation_strings":["School of Software Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017601806","display_name":"Hong Yu","orcid":"https://orcid.org/0000-0001-9263-5035"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Yu","raw_affiliation_strings":["School of Software Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2594,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83959457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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":0.9994000196456909,"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":0.8027865290641785},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6880471110343933},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6778324842453003},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6725764274597168},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5727402567863464},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4822574257850647},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4506804645061493},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.4310295581817627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4301721453666687},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.42014485597610474},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3924769163131714},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3785499632358551}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027865290641785},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6880471110343933},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6778324842453003},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6725764274597168},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5727402567863464},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4822574257850647},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4506804645061493},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.4310295581817627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4301721453666687},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.42014485597610474},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3924769163131714},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3785499632358551},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3555964281","display_name":null,"funder_award_id":"DUT20GF106","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5713350868","display_name":null,"funder_award_id":"61806034","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W25301398","https://openalex.org/W101809282","https://openalex.org/W1832693441","https://openalex.org/W2153579005","https://openalex.org/W2161624371","https://openalex.org/W2250539671","https://openalex.org/W2250887991","https://openalex.org/W2251120499","https://openalex.org/W2251135946","https://openalex.org/W2470673105","https://openalex.org/W2562539671","https://openalex.org/W2766095568","https://openalex.org/W2890114324","https://openalex.org/W2892381115","https://openalex.org/W2907213813","https://openalex.org/W2913957986","https://openalex.org/W2921024999","https://openalex.org/W2951124019","https://openalex.org/W2963403868","https://openalex.org/W2963711448","https://openalex.org/W2966024403","https://openalex.org/W2970182620","https://openalex.org/W2971885210","https://openalex.org/W4294170691","https://openalex.org/W4321851632","https://openalex.org/W4385245566","https://openalex.org/W6601034179","https://openalex.org/W6604260396","https://openalex.org/W6682691769","https://openalex.org/W6691314854","https://openalex.org/W6691340348","https://openalex.org/W6739901393","https://openalex.org/W6850026996"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W2941935829","https://openalex.org/W3089396779","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3013279174","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W4317653575"],"abstract_inverted_index":{"Emotion-cause":[0],"pair":[1,78],"extraction":[2,31],"(ECPE),":[3],"an":[4,43],"emerging":[5],"task":[6],"in":[7,20,46,124,140],"sentiment":[8],"analysis,":[9],"aims":[10],"at":[11,61,68,152],"extracting":[12],"pairs":[13,66],"of":[14,142],"emotions":[15,58,101],"and":[16,59,65,77,102,114],"their":[17],"corresponding":[18],"causes":[19,60,103],"documents.":[21],"This":[22],"is":[23],"a":[24,53,89,112],"more":[25],"challenging":[26],"problem":[27],"than":[28,138],"emotion":[29,37],"cause":[30],"(ECE),":[32],"since":[33],"it":[34],"requires":[35],"no":[36],"signals":[38],"which":[39,56],"are":[40],"demonstrated":[41],"as":[42],"important":[44],"role":[45],"the":[47,62,69,84,105],"ECE":[48],"task.":[49],"Existing":[50],"work":[51],"follows":[52],"two-stage":[54],"pipeline":[55],"identifies":[57],"first":[63],"step":[64],"them":[67],"second":[70],"step.":[71],"However,":[72],"error":[73,126],"propagation":[74,127],"across":[75],"steps":[76],"combining":[79],"without":[80],"contextual":[81,113],"information":[82],"limits":[83],"effectiveness.":[85],"Therefore,":[86],"we":[87,98,118],"propose":[88],"Dual-Questioning":[90],"Attention":[91],"Network":[92],"to":[93,104],"alleviate":[94],"these":[95],"limitations.":[96],"Specifically,":[97],"question":[99],"candidate":[100],"context":[106],"independently":[107],"through":[108],"attention":[109],"networks":[110],"for":[111],"semantical":[115],"answer.":[116],"Also,":[117],"explore":[119],"how":[120],"weighted":[121],"loss":[122],"functions":[123],"controlling":[125],"between":[128],"steps.":[129],"Empirical":[130],"results":[131],"show":[132],"that":[133],"our":[134],"method":[135],"performs":[136],"better":[137],"baselines":[139],"terms":[141],"multiple":[143],"evaluation":[144],"metrics.":[145],"The":[146],"source":[147],"code":[148],"can":[149],"be":[150],"obtained":[151],"https://github.com/QixuanSun/DQAN.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
