{"id":"https://openalex.org/W1526361935","doi":"https://doi.org/10.21437/interspeech.2008-253","title":"Unsupervised language model adaptation based on topic and role information in multiparty meetings","display_name":"Unsupervised language model adaptation based on topic and role information in multiparty meetings","publication_year":2008,"publication_date":"2008-09-22","ids":{"openalex":"https://openalex.org/W1526361935","doi":"https://doi.org/10.21437/interspeech.2008-253","mag":"1526361935"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2008-253","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2008-253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2008","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1842/3835","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047856952","display_name":"Songfang Huang","orcid":"https://orcid.org/0000-0001-8084-0904"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Songfang Huang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5027442277","display_name":"Steve Renals","orcid":"https://orcid.org/0000-0002-8790-3389"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steve Renals","raw_affiliation_strings":["University of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"833","last_page":"836"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9991999864578247,"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":0.9954000115394592,"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":0.8598569631576538},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.7573798298835754},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6909298300743103},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6065936088562012},{"id":"https://openalex.org/keywords/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.5941017270088196},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5619757771492004},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5518805980682373},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5240828394889832},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.5141584873199463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5110515356063843},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44698596000671387},{"id":"https://openalex.org/keywords/cache-language-model","display_name":"Cache language model","score":0.4436590373516083},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4119492471218109},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.352535218000412},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34005680680274963},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.30098673701286316},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.19040173292160034},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.16125226020812988},{"id":"https://openalex.org/keywords/universal-networking-language","display_name":"Universal Networking Language","score":0.14054247736930847},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07017624378204346}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8598569631576538},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7573798298835754},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6909298300743103},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6065936088562012},{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.5941017270088196},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5619757771492004},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5518805980682373},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5240828394889832},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.5141584873199463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5110515356063843},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44698596000671387},{"id":"https://openalex.org/C39608478","wikidata":"https://www.wikidata.org/wiki/Q5015979","display_name":"Cache language model","level":5,"score":0.4436590373516083},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4119492471218109},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.352535218000412},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34005680680274963},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.30098673701286316},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.19040173292160034},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.16125226020812988},{"id":"https://openalex.org/C83479923","wikidata":"https://www.wikidata.org/wiki/Q2063748","display_name":"Universal Networking Language","level":4,"score":0.14054247736930847},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07017624378204346},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C129353971","wikidata":"https://www.wikidata.org/wiki/Q5156949","display_name":"Comprehension approach","level":3,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/interspeech.2008-253","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2008-253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2008","raw_type":"proceedings-article"},{"id":"pmh:oai:era.ed.ac.uk:1842/3835","is_oa":true,"landing_page_url":"http://hdl.handle.net/1842/3835","pdf_url":"http://hdl.handle.net/1842/3835","source":{"id":"https://openalex.org/S7407055182","display_name":"ERA","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.217.1940","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.217.1940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cstr.inf.ed.ac.uk/downloads/publications/2008/interspeech08.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:era.ed.ac.uk:1842/3835","is_oa":true,"landing_page_url":"http://hdl.handle.net/1842/3835","pdf_url":"http://hdl.handle.net/1842/3835","source":{"id":"https://openalex.org/S7407055182","display_name":"ERA","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1526361935.pdf","grobid_xml":"https://content.openalex.org/works/W1526361935.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W85801758","https://openalex.org/W116513625","https://openalex.org/W182840523","https://openalex.org/W1880262756","https://openalex.org/W2027499299","https://openalex.org/W2083751884","https://openalex.org/W2095848329","https://openalex.org/W2127602683","https://openalex.org/W2145989470","https://openalex.org/W2156058371","https://openalex.org/W2158266063"],"related_works":["https://openalex.org/W2914864478","https://openalex.org/W2097627380","https://openalex.org/W2008338582","https://openalex.org/W4291700620","https://openalex.org/W1999586157","https://openalex.org/W22044811","https://openalex.org/W2625329765","https://openalex.org/W2255612897","https://openalex.org/W2766840109","https://openalex.org/W2955328590"],"abstract_inverted_index":{"We":[0],"continue":[1],"our":[2,76],"previous":[3],"work":[4],"on":[5,34,80,108],"the":[6,23,42,50,56,61,73,109],"modeling":[7],"of":[8,25,41,53,55,75,85,99],"topic":[9,47,110,119],"and":[10,60,63,94,111],"role":[11,112,125],"information":[12],"from":[13],"multiparty":[14],"meetings":[15],"using":[16],"a":[17,45,81],"hierarchical":[18,121],"Dirichlet":[19,122],"process":[20],"(HDP),":[21],"in":[22,97],"context":[24],"language":[26,104,116],"model":[27,59,105],"adaptation.":[28],"In":[29],"this":[30],"paper":[31],"we":[32],"focus":[33],"three":[35],"problems:":[36],"1)":[37],"an":[38,65],"empirical":[39],"analysis":[40],"HDP":[43],"as":[44],"nonparametric":[46],"model;":[48],"2)":[49],"mismatch":[51],"problem":[52],"vocabularies":[54],"baseline":[57],"n-gram":[58],"HDP;":[62],"3)":[64],"automatic":[66],"speech":[67,90],"recognition":[68],"experiment":[69],"to":[70],"further":[71],"verify":[72],"effectiveness":[74],"adaptation":[77,106],"framework.":[78],"Experiments":[79],"large":[82],"meeting":[83],"corpus":[84],"more":[86],"than":[87],"70":[88],"hours":[89],"data":[91],"show":[92],"consistent":[93],"significant":[95],"improvements":[96],"terms":[98],"word":[100],"error":[101],"rate":[102],"for":[103],"based":[107],"information.":[113],"Index":[114],"Terms:":[115],"model,":[117,120],"adaptation,":[118],"process,":[123],"participant":[124]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
