{"id":"https://openalex.org/W4402112531","doi":"https://doi.org/10.21437/interspeech.2024-1351","title":"Automated Human-Readable Label Generation in Open Intent Discovery","display_name":"Automated Human-Readable Label Generation in Open Intent Discovery","publication_year":2024,"publication_date":"2024-09-01","ids":{"openalex":"https://openalex.org/W4402112531","doi":"https://doi.org/10.21437/interspeech.2024-1351"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2024-1351","is_oa":false,"landing_page_url":"http://dx.doi.org/10.21437/interspeech.2024-1351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2024","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://napier-repository.worktribe.com/file/3683667/1/Automated%20Human-Readable%20Label%20Generation%20in%20Open%20Intent%20Discovery%20%28accepted%20version%29","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108337280","display_name":"Grant Anderson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Grant Anderson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006992974","display_name":"Emma Hart","orcid":"https://orcid.org/0000-0002-5405-4413"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emma Hart","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077450332","display_name":"Dimitra Gkatzia","orcid":"https://orcid.org/0000-0001-8568-7806"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dimitra Gkatzia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5046481287","display_name":"Ian Beaver","orcid":"https://orcid.org/0000-0003-0865-1214"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ian Beaver","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3540","last_page":"3544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9779000282287598,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9779000282287598,"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":0.9656999707221985,"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":0.9556999802589417,"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":0.6859548091888428},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3572501540184021},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3489735424518585}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6859548091888428},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3572501540184021},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3489735424518585}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2024-1351","is_oa":false,"landing_page_url":"http://dx.doi.org/10.21437/interspeech.2024-1351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2024","raw_type":"proceedings-article"},{"id":"pmh:oai:repository@napier.ac.uk:3683667","is_oa":true,"landing_page_url":"https://doi.org/10.21437/Interspeech.2024-1351","pdf_url":"https://napier-repository.worktribe.com/file/3683667/1/Automated%20Human-Readable%20Label%20Generation%20in%20Open%20Intent%20Discovery%20%28accepted%20version%29","source":{"id":"https://openalex.org/S4306402591","display_name":"Edinburgh Napier Research Repository (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Presentation / Conference Contribution"}],"best_oa_location":{"id":"pmh:oai:repository@napier.ac.uk:3683667","is_oa":true,"landing_page_url":"https://doi.org/10.21437/Interspeech.2024-1351","pdf_url":"https://napier-repository.worktribe.com/file/3683667/1/Automated%20Human-Readable%20Label%20Generation%20in%20Open%20Intent%20Discovery%20%28accepted%20version%29","source":{"id":"https://openalex.org/S4306402591","display_name":"Edinburgh Napier Research Repository (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Presentation / Conference Contribution"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4402112531.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"The":[0,29],"correct":[1],"determination":[2],"of":[3,26,31,70,73,106],"user":[4],"intent":[5,13,133],"is":[6,35],"key":[7],"in":[8,88],"dialog":[9],"systems.":[10,90],"However,":[11],"an":[12],"classifier":[14],"often":[15],"requires":[16],"a":[17,24,33,36,78,96],"large,":[18],"labelled":[19],"training":[20],"dataset":[21,34],"to":[22,48,85,143],"identify":[23],"set":[25],"known":[27],"intents.":[28],"creation":[30],"such":[32],"complex":[37],"and":[38,54,109,129],"time-consuming":[39],"task":[40],"which":[41],"usually":[42],"involves":[43],"humans":[44],"applying":[45,144],"clustering":[46],"tools":[47],"unlabelled":[49,139],"data,":[50],"analysing":[51],"the":[52,68,127],"results,":[53],"creating":[55],"human-readable":[56,79],"labels":[57,125,134],"for":[58],"each":[59],"cluster.":[60],"While":[61],"many":[62],"Open":[63],"Intent":[64],"Discovery":[65],"works":[66],"tackle":[67],"problem":[69],"discovering":[71],"clusters":[72],"common":[74],"intent,":[75],"few":[76],"generate":[77],"label":[80,99,110],"that":[81,118,130],"can":[82,135],"be":[83,136],"used":[84],"make":[86],"decisions":[87],"downstream":[89],"To":[91],"address":[92],"this,":[93],"we":[94],"introduce":[95],"novel":[97],"candidate":[98,107],"extraction":[100,108,120],"method":[101,121],"then":[102],"evaluate":[103],"six":[104],"combinations":[105],"selection":[111],"methods":[112],"on":[113],"three":[114],"datasets.":[115],"We":[116],"find":[117],"our":[119],"produces":[122],"more":[123],"detailed":[124],"than":[126],"alternatives":[128],"high":[131],"quality":[132],"generated":[137],"from":[138],"data":[140],"without":[141],"resorting":[142],"costly":[145],"pre-trained":[146],"language":[147],"models.":[148]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}