{"id":"https://openalex.org/W4389518657","doi":"https://doi.org/10.18653/v1/2023.findings-emnlp.1006","title":"Dialogue Act-Aided Backchannel Prediction Using Multi-Task Learning","display_name":"Dialogue Act-Aided Backchannel Prediction Using Multi-Task Learning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389518657","doi":"https://doi.org/10.18653/v1/2023.findings-emnlp.1006"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2023.findings-emnlp.1006","doi":"https://doi.org/10.18653/v1/2023.findings-emnlp.1006","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.findings-emnlp.1006","pdf_url":"https://aclanthology.org/2023.findings-emnlp.1006.pdf","source":{"id":"https://openalex.org/S7407096085","display_name":"Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2023","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2023.findings-emnlp.1006.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006895914","display_name":"Wencke Liermann","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Wencke Liermann","raw_affiliation_strings":["Department of Computer Engineering, Chungnam National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Chungnam National University","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102730986","display_name":"Yo-Han Park","orcid":"https://orcid.org/0000-0002-5023-5604","observed_orcids":["https://orcid.org/0000-0002-5023-5604"]},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yo-Han Park","raw_affiliation_strings":["Department of Radio and Information Communications Engineering, Chungnam National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radio and Information Communications Engineering, Chungnam National University","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082149468","display_name":"Yong\u2010Seok Choi","orcid":"https://orcid.org/0000-0002-7889-8004","observed_orcids":["https://orcid.org/0000-0002-7889-8004"]},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong-Seok Choi","raw_affiliation_strings":["Department of Radio and Information Communications Engineering, Chungnam National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radio and Information Communications Engineering, Chungnam National University","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085487459","display_name":"Kong Lee","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kong Lee","raw_affiliation_strings":["Department of Radio and Information Communications Engineering, Chungnam National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radio and Information Communications Engineering, Chungnam National University","institution_ids":["https://openalex.org/I196345858"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006895914"],"corresponding_institution_ids":["https://openalex.org/I196345858"],"apc_list":null,"apc_paid":null,"fwci":0.5303,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65870351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"15073","last_page":"15079"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9940999746322632,"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/T12031","display_name":"Speech and dialogue systems","score":0.9940999746322632,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.005100000184029341,"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/T10383","display_name":"Language, Discourse, Communication Strategies","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dialogue-act-classification","display_name":"dialogue act classification","score":0.9350000023841858},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"multi-task learning","score":0.9300000071525574},{"id":"https://openalex.org/keywords/speaker-intention","display_name":"speaker intention","score":0.6510000228881836},{"id":"https://openalex.org/keywords/utterance-types","display_name":"utterance types","score":0.9750000238418579},{"id":"https://openalex.org/keywords/audio-encoder","display_name":"audio encoder","score":0.527999997138977},{"id":"https://openalex.org/keywords/self-supervised-pretraining","display_name":"self-supervised pre-training","score":0.8500000238418579},{"id":"https://openalex.org/keywords/conversational-speech","display_name":"conversational speech","score":0.5809999704360962}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.810225248336792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7667567133903503},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7022926211357117},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.6600502133369446},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.618797779083252},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6003093719482422},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5946924090385437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5369159579277039},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.46167585253715515},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4395274519920349},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4369971752166748},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15779149532318115},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.14114528894424438},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08082222938537598},{"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},{"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/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2023.findings-emnlp.1006","doi":"https://doi.org/10.18653/v1/2023.findings-emnlp.1006","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.findings-emnlp.1006","pdf_url":"https://aclanthology.org/2023.findings-emnlp.1006.pdf","source":{"id":"https://openalex.org/S7407096085","display_name":"Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2023","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2023.findings-emnlp.1006","doi":"https://doi.org/10.18653/v1/2023.findings-emnlp.1006","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.findings-emnlp.1006","pdf_url":"https://aclanthology.org/2023.findings-emnlp.1006.pdf","source":{"id":"https://openalex.org/S7407096085","display_name":"Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2023","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1628181847","display_name":null,"funder_award_id":"RS\u20102022\u201000155857","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4700831490","display_name":null,"funder_award_id":"2022-","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G4939975072","display_name":null,"funder_award_id":"RS-2022-00155857","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6789273066","display_name":null,"funder_award_id":"RS-2022-00155857","funder_id":"https://openalex.org/F4320321204","funder_display_name":"Chungnam National University"}],"funders":[{"id":"https://openalex.org/F4320321204","display_name":"Chungnam National University","ror":"https://ror.org/0227as991"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389518657.pdf","grobid_xml":"https://content.openalex.org/works/W4389518657.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W9486812","https://openalex.org/W1921786749","https://openalex.org/W1987312294","https://openalex.org/W2747970911","https://openalex.org/W2889445100","https://openalex.org/W2963341956","https://openalex.org/W3005511757","https://openalex.org/W3016140135","https://openalex.org/W3161247923","https://openalex.org/W3199141871","https://openalex.org/W3199809110","https://openalex.org/W3211795293","https://openalex.org/W3213103319","https://openalex.org/W4255293871","https://openalex.org/W4293714162","https://openalex.org/W4297841817","https://openalex.org/W4312925091","https://openalex.org/W4327810158"],"related_works":["https://openalex.org/W7171961047","https://openalex.org/W3213103319","https://openalex.org/W4391841608","https://openalex.org/W7126434812","https://openalex.org/W4404089034","https://openalex.org/W7095348296","https://openalex.org/W4415433227","https://openalex.org/W7099586142","https://openalex.org/W4364385674","https://openalex.org/W3161247923"],"abstract_inverted_index":{"Produced":[0],"in":[1,14,52,79,98,112],"the":[2,47,59,66,95],"form":[3],"of":[4,49,61,68,110],"small":[5],"injections":[6],"such":[7],"as":[8],"\"Yeah!\"":[9],"or":[10,73],"\"Uh-Huh\"":[11],"by":[12,64,75],"listeners":[13],"a":[15,38,99],"conversation,":[16],"supportive":[17],"verbal":[18],"feedback":[19],"(i.e.,":[20],"backchanneling)":[21],"is":[22],"essential":[23],"for":[24,46],"natural":[25],"dialogue.Highlighting":[26],"its":[27],"tight":[28],"relation":[29],"to":[30,77,88,107],"speaker":[31],"intent":[32],"and":[33],"utterance":[34],"type,":[35],"we":[36,92],"propose":[37],"multitask":[39],"learning":[40],"approach":[41,63],"that":[42],"learns":[43],"textual":[44],"representations":[45],"task":[48],"backchannel":[50],"prediction":[51,67],"tandem":[53],"with":[54],"dialogue":[55],"act":[56],"classification.We":[57],"demonstrate":[58],"effectiveness":[60],"our":[62],"improving":[65],"specific":[69],"backchannels":[70],"like":[71],"\"Yeah\"":[72],"\"Really?\"":[74],"up":[76],"2.0%":[78],"F1.Additionally,":[80],"whereas":[81],"previous":[82],"models":[83],"relied":[84],"on":[85],"well-established":[86],"methods":[87],"extract":[89],"audio":[90,96],"features,":[91],"further":[93],"pre-train":[94],"encoder":[97],"self-supervised":[100],"fashion":[101],"using":[102],"voice":[103],"activity":[104],"projection.This":[105],"leads":[106],"additional":[108],"gains":[109],"1.4%":[111],"weighted":[113],"F1.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2023-12-10T00:00:00"}