{"id":"https://openalex.org/W4312458895","doi":"https://doi.org/10.1109/taffc.2022.3216551","title":"ECPEC: Emotion-Cause Pair Extraction in Conversations","display_name":"ECPEC: Emotion-Cause Pair Extraction in Conversations","publication_year":2022,"publication_date":"2022-11-03","ids":{"openalex":"https://openalex.org/W4312458895","doi":"https://doi.org/10.1109/taffc.2022.3216551"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2022.3216551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2022.3216551","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/A5100318285","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-8077-7025"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-8077-7025","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341552","display_name":"Yang Li","orcid":"https://orcid.org/0000-0001-5672-4110"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-5672-4110","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022280034","display_name":"Vlad Pandelea","orcid":"https://orcid.org/0000-0003-2885-2005"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Vlad Pandelea","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059204524","display_name":"Mengshi Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mengshi Ge","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101585517","display_name":"Luyao Zhu","orcid":"https://orcid.org/0000-0002-7422-7318"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Luyao Zhu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-7422-7318","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100752356","display_name":"Erik Cambria","orcid":"https://orcid.org/0000-0002-3030-1280"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Erik Cambria","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-3030-1280","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100318285"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":5.9654,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.96735325,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"14","issue":"3","first_page":"1754","last_page":"1765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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":0.9998000264167786,"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":0.9994000196456909,"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/utterance","display_name":"Utterance","score":0.8141464591026306},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.8065911531448364},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7581285238265991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6687011122703552},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6253071427345276},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6146806478500366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46219947934150696},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41279760003089905},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.34792864322662354},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3029254674911499},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.16471683979034424}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.8141464591026306},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.8065911531448364},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7581285238265991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6687011122703552},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6253071427345276},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6146806478500366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46219947934150696},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41279760003089905},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.34792864322662354},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3029254674911499},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.16471683979034424},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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:10.1109/taffc.2022.3216551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2022.3216551","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":[],"awards":[{"id":"https://openalex.org/G3616239415","display_name":null,"funder_award_id":"A18A2b0046","funder_id":"https://openalex.org/F4320320696","funder_display_name":"Agency for Science, Technology and Research"}],"funders":[{"id":"https://openalex.org/F4320320696","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W25301398","https://openalex.org/W101809282","https://openalex.org/W799573885","https://openalex.org/W1522301498","https://openalex.org/W1564070220","https://openalex.org/W1832693441","https://openalex.org/W2016589492","https://openalex.org/W2020111801","https://openalex.org/W2064675550","https://openalex.org/W2084791978","https://openalex.org/W2102117374","https://openalex.org/W2126307719","https://openalex.org/W2146334809","https://openalex.org/W2161624371","https://openalex.org/W2250539671","https://openalex.org/W2251120499","https://openalex.org/W2502025697","https://openalex.org/W2604314403","https://openalex.org/W2613255073","https://openalex.org/W2624871570","https://openalex.org/W2740550900","https://openalex.org/W2761590056","https://openalex.org/W2766095568","https://openalex.org/W2773167282","https://openalex.org/W2891359673","https://openalex.org/W2892381115","https://openalex.org/W2896457183","https://openalex.org/W2912258029","https://openalex.org/W2951124019","https://openalex.org/W2962946486","https://openalex.org/W2963711448","https://openalex.org/W2963877604","https://openalex.org/W2964300796","https://openalex.org/W2985882473","https://openalex.org/W3010575424","https://openalex.org/W3034990686","https://openalex.org/W3035101819","https://openalex.org/W3035563474","https://openalex.org/W3094384122","https://openalex.org/W3173686806","https://openalex.org/W3199412388","https://openalex.org/W3202775307","https://openalex.org/W4220752914","https://openalex.org/W4247276753","https://openalex.org/W4385245566","https://openalex.org/W6601034179","https://openalex.org/W6604260396","https://openalex.org/W6631190155","https://openalex.org/W6633614788","https://openalex.org/W6691314854","https://openalex.org/W6739365718","https://openalex.org/W6739901393","https://openalex.org/W6745297980","https://openalex.org/W6755207826","https://openalex.org/W6774843077"],"related_works":["https://openalex.org/W1968552888","https://openalex.org/W2374116601","https://openalex.org/W3093134843","https://openalex.org/W2772323916","https://openalex.org/W1511346092","https://openalex.org/W1527532029","https://openalex.org/W2529301793","https://openalex.org/W2378167147","https://openalex.org/W3210777354","https://openalex.org/W3133700904"],"abstract_inverted_index":{"Conversational":[0],"sentiment":[1,23],"analysis":[2],"(CSA)":[3],"and":[4,30,56,84,102,123],"emotion-cause":[5,36,70],"pair":[6,71],"extraction":[7,72],"(ECPE)":[8],"tasks":[9],"have":[10],"attracted":[11],"increasing":[12],"attention":[13],"in":[14,27,38,73,88],"recent":[15],"years.":[16],"The":[17,90],"former":[18],"aims":[19,77],"to":[20,78],"predict":[21],"the":[22,31,51,98,110,131,141,144,150],"states":[24],"of":[25,44,81,109,143,152],"speakers":[26],"a":[28,39,67,119,125],"conversation,":[29],"latter":[32],"is":[33,46,94,105],"about":[34],"extracting":[35],"clauses":[37],"document.":[40],"However,":[41],"one":[42],"drawback":[43],"CSA":[45],"that":[47,108],"it":[48],"cannot":[49],"model":[50],"causal":[52],"reasoning":[53],"among":[54],"emotion":[55,101],"neutral":[57],"utterances":[58,83,87,104],"from":[59],"different":[60],"speakers.":[61],"In":[62],"this":[63,115],"work,":[64],"we":[65,117],"propose":[66,124],"new":[68,132],"task:":[69],"conversations":[74],"(ECPEC),":[75],"which":[76],"extract":[79],"pairs":[80],"emotional":[82],"corresponding":[85],"cause":[86,103],"conversations.":[89],"utterance-level":[91],"ECPEC":[92,133,145],"task":[93,146],"more":[95],"challenging":[96],"since":[97],"distance":[99],"between":[100],"larger":[106],"than":[107],"clause-level":[111],"ECPE":[112],"task.":[113,134],"To":[114],"end,":[116],"build":[118],"novel":[120],"dataset":[121,139],"ConvECPE":[122,138],"specifically":[126],"designed":[127],"two-step":[128],"framework":[129],"for":[130],"Experimental":[135],"results":[136],"on":[137],"demonstrate":[140],"feasibility":[142],"as":[147,149],"well":[148],"effectiveness":[151],"our":[153],"framework.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
