{"id":"https://openalex.org/W2407610416","doi":"https://doi.org/10.21437/interspeech.2014-41","title":"Hypotheses ranking for robust domain classification and tracking in dialogue systems","display_name":"Hypotheses ranking for robust domain classification and tracking in dialogue systems","publication_year":2014,"publication_date":"2014-09-14","ids":{"openalex":"https://openalex.org/W2407610416","doi":"https://doi.org/10.21437/interspeech.2014-41","mag":"2407610416"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2014-41","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2014-41","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2014","raw_type":"proceedings-article"},"type":"article","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/A5108587378","display_name":"Jean-Philippe Robichaud","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jean-Philippe Robichaud","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077286440","display_name":"Paul Crook","orcid":"https://orcid.org/0000-0002-0252-0769"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paul A. Crook","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113753678","display_name":"Puyang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Puyang Xu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108225108","display_name":"Omar Zia Khan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Omar Zia Khan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072875068","display_name":"Ruhi Sarikaya","orcid":"https://orcid.org/0000-0003-2676-2831"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ruhi Sarikaya","raw_affiliation_strings":["(Microsoft)"],"affiliations":[{"raw_affiliation_string":"(Microsoft)","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5108587378"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8631,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92421864,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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":0.7220447063446045},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6880853772163391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6402734518051147},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5785221457481384},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5038594603538513},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.42099496722221375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3529539108276367},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33055752515792847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14533331990242004},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.05047985911369324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7220447063446045},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6880853772163391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6402734518051147},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5785221457481384},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5038594603538513},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.42099496722221375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3529539108276367},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33055752515792847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14533331990242004},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.05047985911369324},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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":1,"locations":[{"id":"doi:10.21437/interspeech.2014-41","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2014-41","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2014","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W146318628","https://openalex.org/W179314280","https://openalex.org/W1501568714","https://openalex.org/W1633466834","https://openalex.org/W1678356000","https://openalex.org/W2004672974","https://openalex.org/W2010662796","https://openalex.org/W2035438624","https://openalex.org/W2097584131","https://openalex.org/W2119821739","https://openalex.org/W2121127625","https://openalex.org/W2128877075","https://openalex.org/W2147880316","https://openalex.org/W2578317200","https://openalex.org/W2883070021"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W2798997222","https://openalex.org/W2798198862","https://openalex.org/W2793336762","https://openalex.org/W2091548507","https://openalex.org/W2368816706"],"abstract_inverted_index":{"We":[0,112],"present":[1],"a":[2,16,27,36,58,75],"novel":[3],"application":[4],"of":[5,12,57,60,86],"hypothesis":[6],"ranking":[7],"(HR)":[8],"for":[9],"the":[10,45,64,126],"task":[11],"domain":[13,22,72,99,110],"detection":[14],"in":[15,125],"multi-domain,":[17],"multiturn":[18],"dialog":[19],"system.":[20],"Alternate,":[21],"dependent,":[23],"semantic":[24],"frames":[25],"from":[26,63],"spoken":[28],"language":[29],"understanding":[30],"(SLU)":[31],"analysis":[32],"are":[33],"ranked":[34],"using":[35,52],"gradient":[37],"boosted":[38],"decision":[39],"trees":[40],"(GBDT)":[41],"ranker":[42],"to":[43,70,92,120,123],"determine":[44],"most":[46],"likely":[47],"domain.":[48],"The":[49],"ranker,":[50],"trained":[51,119],"Lambda":[53],"Rank,":[54],"makes":[55],"use":[56],"range":[59],"signals":[61],"derived":[62],"SLU":[65,98,109],"and":[66,101],"previous":[67],"turn":[68],"context":[69],"improve":[71],"detection.":[73],"On":[74],"multi-turn":[76],"corpus":[77],"we":[78],"show":[79,114],"that":[80,115],"this":[81],"approach":[82],"offers":[83],"accuracy":[84],"improvements":[85],"3.2%":[87],"absolute":[88],"(25.6%":[89],"relative)":[90,104],"compared":[91],"relying":[93],"solely":[94],"on":[95],"upfront":[96],"non-contextual":[97],"models":[100],"2.9%":[102],"(24.5%":[103],"improvement":[105],"even":[106],"with":[107],"contextual":[108],"models.":[111],"also":[113],"HR":[116],"can":[117],"be":[118,121],"robust":[122],"changes":[124],"SLU.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
