{"id":"https://openalex.org/W3104062498","doi":"https://doi.org/10.21437/interspeech.2021-400","title":"Auxiliary Sequence Labeling Tasks for Disfluency Detection","display_name":"Auxiliary Sequence Labeling Tasks for Disfluency Detection","publication_year":2021,"publication_date":"2021-08-27","ids":{"openalex":"https://openalex.org/W3104062498","doi":"https://doi.org/10.21437/interspeech.2021-400","mag":"3104062498"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2021-400","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2021-400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2021","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2011.04512","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032660995","display_name":"Dongyub Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongyub Lee","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008717888","display_name":"Byeongil Ko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Byeongil Ko","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110766737","display_name":"Myeong Cheol Shin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Myeong Cheol Shin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082508803","display_name":"Taesun Whang","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taesun Whang","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392980","display_name":"Daniel Lee","orcid":"https://orcid.org/0000-0001-9447-4175"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079286249","display_name":"Eun\u2010Hwa Kim","orcid":"https://orcid.org/0000-0001-6179-4666"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eunhwa Kim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084431382","display_name":"EungGyun Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunggyun Kim","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045841939","display_name":"Jaechoon Jo","orcid":"https://orcid.org/0000-0003-4453-9772"},"institutions":[{"id":"https://openalex.org/I36738375","display_name":"Hanshin University","ror":"https://ror.org/039fgyk85","country_code":"KR","type":"education","lineage":["https://openalex.org/I36738375"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaechoon Jo","raw_affiliation_strings":["HanShin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HanShin University","institution_ids":["https://openalex.org/I36738375"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1399,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51529101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4229","last_page":"4233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.998199999332428,"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/T12031","display_name":"Speech and dialogue systems","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":0.8175326585769653},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7485901713371277},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6108790636062622},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5856344699859619},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.5380544066429138},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5245133638381958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.501692533493042},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46421101689338684},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4509904682636261},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3553059697151184},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.17118212580680847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8175326585769653},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7485901713371277},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6108790636062622},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5856344699859619},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.5380544066429138},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5245133638381958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.501692533493042},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46421101689338684},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4509904682636261},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3553059697151184},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.17118212580680847},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.21437/interspeech.2021-400","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2021-400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2021","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2011.04512","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.04512","pdf_url":"https://arxiv.org/pdf/2011.04512","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3104062498","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2011.04512.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2011.04512","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2011.04512","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2011.04512","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.04512","pdf_url":"https://arxiv.org/pdf/2011.04512","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3104062498.pdf","grobid_xml":"https://content.openalex.org/works/W3104062498.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2000223082","https://openalex.org/W2021208044","https://openalex.org/W2088921122","https://openalex.org/W2147880316","https://openalex.org/W2154118774","https://openalex.org/W2203858612","https://openalex.org/W2293765256","https://openalex.org/W2338935876","https://openalex.org/W2400986993","https://openalex.org/W2406344726","https://openalex.org/W2575406636","https://openalex.org/W2880875857","https://openalex.org/W2937646839","https://openalex.org/W2946119234","https://openalex.org/W2946558277","https://openalex.org/W2950231663","https://openalex.org/W2950369394","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2970971581","https://openalex.org/W2972328063","https://openalex.org/W2996888978","https://openalex.org/W3013571468","https://openalex.org/W3015596056"],"related_works":["https://openalex.org/W3198653233","https://openalex.org/W2406116996","https://openalex.org/W3012546161","https://openalex.org/W2604693796","https://openalex.org/W2123524045","https://openalex.org/W3141108820","https://openalex.org/W2556975121","https://openalex.org/W3094180720","https://openalex.org/W3034461631","https://openalex.org/W2293858598","https://openalex.org/W2118618626","https://openalex.org/W1979532224","https://openalex.org/W3211053973","https://openalex.org/W3016042119","https://openalex.org/W1999845150","https://openalex.org/W3015722595","https://openalex.org/W2796182971","https://openalex.org/W1911935018","https://openalex.org/W45883909","https://openalex.org/W2963230678"],"abstract_inverted_index":{"Detecting":[0],"disfluencies":[1,60],"in":[2,10,128,161],"spontaneous":[3],"speech":[4,15],"is":[5],"an":[6],"important":[7,99],"preprocessing":[8],"step":[9],"natural":[11],"language":[12],"processing":[13],"and":[14,64,73,101],"recognition":[16,71],"applications.":[17],"Existing":[18],"works":[19],"for":[20,31,82,105],"disfluency":[21,32,83,117,129,162],"detection":[22,108,118],"have":[23],"focused":[24],"on":[25,58,61,141,146],"designing":[26],"a":[27,41,66,94,116],"single":[28],"objective":[29],"only":[30],"detection,":[33],"while":[34],"auxiliary":[35,77,121,135],"objectives":[36],"utilizing":[37,68,90],"linguistic":[38,91],"information":[39,49,92],"of":[40,93,109],"word":[42,95],"such":[43],"as":[44,76],"named":[45,69],"entity":[46,70],"or":[47],"part-of-speech":[48,74],"can":[50,96,102,124],"be":[51,103],"effective.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56,86,112,132],"focus":[57],"detecting":[59],"spoken":[62],"transcripts":[63],"propose":[65],"method":[67,156],"(NER)":[72],"(POS)":[75],"sequence":[78],"labeling":[79],"(SL)":[80],"tasks":[81,123,137],"detection.":[84,130,163],"First,":[85],"investigate":[87],"cases":[88],"that":[89,114,154],"prevent":[97],"mispredicting":[98],"words":[100],"helpful":[104],"the":[106,147,158],"correct":[107],"disfluencies.":[110],"Second,":[111],"show":[113,153],"training":[115],"model":[119],"with":[120],"SL":[122,136],"improve":[125],"its":[126],"F-score":[127],"Then,":[131],"analyze":[133],"which":[134],"are":[138],"influential":[139],"depending":[140],"baseline":[142],"models.":[143],"Experimental":[144],"results":[145],"widely":[148],"used":[149],"English":[150],"Switchboard":[151],"dataset":[152],"our":[155],"outperforms":[157],"previous":[159],"state-of-the-art":[160]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}