{"id":"https://openalex.org/W2130422344","doi":"https://doi.org/10.1109/asru.2009.5373377","title":"Active learning for rule-based and corpus-based Spoken Language Understanding models","display_name":"Active learning for rule-based and corpus-based Spoken Language Understanding models","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2130422344","doi":"https://doi.org/10.1109/asru.2009.5373377","mag":"2130422344"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2009.5373377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2009.5373377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Automatic Speech Recognition &amp; Understanding","raw_type":"proceedings-article"},"type":"preprint","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/A5042351587","display_name":"Pierre Gotab","orcid":null},"institutions":[{"id":"https://openalex.org/I198415970","display_name":"Universit\u00e9 d'Avignon et des Pays de Vaucluse","ror":"https://ror.org/00mfpxb84","country_code":"FR","type":"education","lineage":["https://openalex.org/I198415970"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Pierre Gotab","raw_affiliation_strings":["LIA AGROPARC, Universite d''Avignon, Avignon, France","LIA, Universite d'Avignon, AGROPARC, 339 chemin des Meinajaries, 84911 Avignon cedex 09, France"],"affiliations":[{"raw_affiliation_string":"LIA AGROPARC, Universite d''Avignon, Avignon, France","institution_ids":["https://openalex.org/I198415970"]},{"raw_affiliation_string":"LIA, Universite d'Avignon, AGROPARC, 339 chemin des Meinajaries, 84911 Avignon cedex 09, France","institution_ids":["https://openalex.org/I198415970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110498175","display_name":"Fr\u00e9d\u00e9ric B\u00e9chet","orcid":null},"institutions":[{"id":"https://openalex.org/I198415970","display_name":"Universit\u00e9 d'Avignon et des Pays de Vaucluse","ror":"https://ror.org/00mfpxb84","country_code":"FR","type":"education","lineage":["https://openalex.org/I198415970"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Frederic Bechet","raw_affiliation_strings":["LIA AGROPARC, Universite d''Avignon, Avignon, France","LIA, Universite d'Avignon, AGROPARC, 339 chemin des Meinajaries, 84911 Avignon cedex 09, France"],"affiliations":[{"raw_affiliation_string":"LIA AGROPARC, Universite d''Avignon, Avignon, France","institution_ids":["https://openalex.org/I198415970"]},{"raw_affiliation_string":"LIA, Universite d'Avignon, AGROPARC, 339 chemin des Meinajaries, 84911 Avignon cedex 09, France","institution_ids":["https://openalex.org/I198415970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111987611","display_name":"G\u00e9raldine Damnati","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Geraldine Damnati","raw_affiliation_strings":["Orange Laboratories, France Telecom, Lannion, France","France Telecom R&D - Orange Labs - 2 av. Pierre Marzin 22307 Lannion, France"],"affiliations":[{"raw_affiliation_string":"Orange Laboratories, France Telecom, Lannion, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"France Telecom R&D - Orange Labs - 2 av. Pierre Marzin 22307 Lannion, France","institution_ids":["https://openalex.org/I19370010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042351587"],"corresponding_institution_ids":["https://openalex.org/I198415970"],"apc_list":null,"apc_paid":null,"fwci":0.906,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.81554679,"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":"444","last_page":"449"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T12031","display_name":"Speech and dialogue systems","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/T10028","display_name":"Topic Modeling","score":0.995199978351593,"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":0.8763375878334045},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.6690111756324768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6592016220092773},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6336276531219482},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.6226984262466431},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5655339956283569},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5613491535186768},{"id":"https://openalex.org/keywords/dialog-system","display_name":"Dialog system","score":0.5354474186897278},{"id":"https://openalex.org/keywords/rule-based-system","display_name":"Rule-based system","score":0.5262930989265442},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48834535479545593},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.4651983678340912},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.328808456659317},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10623744130134583},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08061885833740234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8763375878334045},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.6690111756324768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6592016220092773},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6336276531219482},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.6226984262466431},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5655339956283569},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5613491535186768},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.5354474186897278},{"id":"https://openalex.org/C149271511","wikidata":"https://www.wikidata.org/wiki/Q1417149","display_name":"Rule-based system","level":2,"score":0.5262930989265442},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48834535479545593},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.4651983678340912},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.328808456659317},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10623744130134583},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08061885833740234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/asru.2009.5373377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2009.5373377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Automatic Speech Recognition &amp; Understanding","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01317421v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01317421","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Workshop on Automatic Speech Recognition & Understanding, 2009. ASRU 2009, Dec 2009, Merano, Italy. &#x27E8;10.1109/ASRU.2009.5373377&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1553262910","https://openalex.org/W1706091990","https://openalex.org/W1900116963","https://openalex.org/W1988316379","https://openalex.org/W2053463056","https://openalex.org/W2095629250","https://openalex.org/W2129191766","https://openalex.org/W2166780783","https://openalex.org/W2167662839","https://openalex.org/W2793863914"],"related_works":["https://openalex.org/W48079147","https://openalex.org/W2563921006","https://openalex.org/W1963944933","https://openalex.org/W1600043506","https://openalex.org/W2111550420","https://openalex.org/W2549666521","https://openalex.org/W3133893348","https://openalex.org/W2920931047","https://openalex.org/W1977846844","https://openalex.org/W2901575119"],"abstract_inverted_index":{"Active":[0],"learning":[1,133,184],"can":[2,26,74,115],"be":[3,27,117,161],"used":[4,142,165],"for":[5,143],"the":[6,34,77,90,110,124,146,167,182],"maintenance":[7,41],"of":[8,23,149,155,172,175,185],"a":[9,30,46,87,150],"deployed":[10,47,151,168],"spoken":[11,35],"dialog":[12,24],"system":[13,72,169],"(SDS)":[14],"that":[15],"evolves":[16,49],"with":[17],"time":[18],"and":[19,170],"when":[20,51],"large":[21],"collection":[22],"traces":[25],"collected":[28],"on":[29,61,136,181,187],"daily":[31],"basis.":[32],"At":[33],"language":[36],"understanding":[37],"(SLU)":[38],"level":[39],"this":[40],"process":[42],"is":[43,141],"crucial":[44],"as":[45,71,104],"SDS":[48],"quickly":[50],"services":[52],"are":[53,68,107,158],"added,":[54],"modified":[55],"or":[56,65,95,120],"dropped.":[57],"Knowledge-based":[58],"approaches,":[59],"based":[60,135,180],"manually":[62],"written":[63],"grammars":[64],"inference":[66],"rules,":[67],"often":[69],"preferred":[70],"designers":[73],"modify":[75],"directly":[76],"SLU":[78,138,147,156],"models":[79,148,157],"in":[80,89,121,166],"order":[81],"to":[82,109,123,160],"take":[83],"into":[84],"account":[85],"such":[86],"modification":[88],"service,":[91],"even":[92],"if":[93],"no":[94],"very":[96],"little":[97],"related":[98],"data":[99],"has":[100],"been":[101],"collected.":[102],"However":[103],"new":[105],"examples":[106],"added":[108],"annotated":[111,189],"corpus,":[112],"corpus-based":[113,178],"methods":[114],"then":[116],"applied,":[118],"replacing":[119],"addition":[122],"initial":[125],"knowledge-based":[126],"models.":[127],"This":[128],"paper":[129],"describes":[130],"an":[131,137,188],"active":[132],"scheme,":[134],"criterion,":[139],"which":[140],"automatically":[144],"updating":[145],"SDS.":[152],"Two":[153],"kind":[154],"going":[159],"compared:":[162],"rule-based":[163],"ones,":[164,179],"consisting":[171],"several":[173],"thousands":[174],"hand-crafted":[176],"rules;":[177],"automatic":[183],"classifiers":[186],"corpus.":[190]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
