{"id":"https://openalex.org/W2403246281","doi":"https://doi.org/10.21437/interspeech.2013-598","title":"A weakly-supervised approach for discovering new user intents from search query logs","display_name":"A weakly-supervised approach for discovering new user intents from search query logs","publication_year":2013,"publication_date":"2013-08-25","ids":{"openalex":"https://openalex.org/W2403246281","doi":"https://doi.org/10.21437/interspeech.2013-598","mag":"2403246281"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2013-598","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2013-598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2013","raw_type":"proceedings-article"},"type":"conference-paper","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/A5068709817","display_name":"Dilek Hakkani\u2010T\u00fcr","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dilek Hakkani-T\u00fcr","raw_affiliation_strings":["Institute of Electrical and Electronics Engineers"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrical and Electronics Engineers","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030468199","display_name":"Asl\u0131 \u00c7eliky\u0131lmaz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Asli Celikyilmaz","raw_affiliation_strings":["Institute of Electrical and Electronics Engineers"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrical and Electronics Engineers","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003679010","display_name":"Larry Heck","orcid":"https://orcid.org/0000-0003-3358-6362"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Larry Heck","raw_affiliation_strings":["Institute of Electrical and Electronics Engineers"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrical and Electronics Engineers","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087941479","display_name":"G\u00f6khan T\u00fcr","orcid":"https://orcid.org/0009-0008-7740-2557"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gokhan Tur","raw_affiliation_strings":["Institute of Electrical and Electronics Engineers"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrical and Electronics Engineers","institution_ids":[]}]}],"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":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3780","last_page":"3784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9995999932289124,"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/T12031","display_name":"Speech and dialogue systems","score":0.9947999715805054,"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":0.8875435590744019},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5713093280792236},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.5245866179466248},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.5229923725128174},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4741705656051636},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4562763273715973},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.45520806312561035},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.4280291199684143},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.42229408025741577},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.4115232825279236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38511109352111816},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3797065019607544},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2996893525123596},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11569243669509888}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8875435590744019},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5713093280792236},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.5245866179466248},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5229923725128174},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4741705656051636},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4562763273715973},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.45520806312561035},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.4280291199684143},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.42229408025741577},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.4115232825279236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38511109352111816},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3797065019607544},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2996893525123596},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11569243669509888},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2013-598","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2013-598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2013","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W648947103","https://openalex.org/W1516496172","https://openalex.org/W1598782021","https://openalex.org/W1962262887","https://openalex.org/W2026449615","https://openalex.org/W2045372110","https://openalex.org/W2068547472","https://openalex.org/W2107598941","https://openalex.org/W2111742432","https://openalex.org/W2114815699","https://openalex.org/W2115720563","https://openalex.org/W2117052697","https://openalex.org/W2153267064","https://openalex.org/W2156037541","https://openalex.org/W2159086674","https://openalex.org/W2161353674","https://openalex.org/W2163676312","https://openalex.org/W2165687169","https://openalex.org/W2172135926"],"related_works":["https://openalex.org/W1534274833","https://openalex.org/W3117246195","https://openalex.org/W2081850291","https://openalex.org/W156620619","https://openalex.org/W2914363205","https://openalex.org/W1598221548","https://openalex.org/W1963695443","https://openalex.org/W2997844990","https://openalex.org/W2616249226","https://openalex.org/W3113264705"],"abstract_inverted_index":{"State-of-the":[0],"art":[1],"spoken":[2,173],"language":[3,39,174],"understanding":[4],"models":[5],"that":[6,34],"automatically":[7],"capture":[8],"user":[9,74],"intents":[10,75,130,165],"in":[11,37],"human":[12],"to":[13,27,41,71,90,144,163],"machine":[14],"dialogs":[15],"are":[16,137],"trained":[17],"with":[18,131],"manually":[19],"annotated":[20],"data,":[21],"which":[22],"is":[23],"cumbersome":[24],"and":[25,56,106],"time-consuming":[26],"prepare.":[28],"For":[29],"bootstrapping":[30],"the":[31,61,92,100,108,113,123,127,132,146,155,168],"learning":[32],"algorithm":[33],"detects":[35],"relations":[36],"natural":[38],"queries":[40,136],"a":[42,77],"conversational":[43],"system,":[44],"one":[45],"can":[46],"rely":[47],"on":[48,112],"publicly":[49],"available":[50],"knowledge":[51,109],"graphs,":[52],"such":[53],"as":[54,103,140],"Freebase,":[55],"mine":[57],"corresponding":[58],"data":[59],"from":[60,95,117,122],"web.":[62],"In":[63],"this":[64,118,158],"paper,":[65],"we":[66],"present":[67],"an":[68],"unsupervised":[69],"approach":[70],"discover":[72],"new":[73,164],"using":[76],"novel":[78],"Bayesian":[79],"hierarchical":[80],"graphical":[81,124,176],"model.":[82,119],"Our":[83],"model":[84,125],"employs":[85],"search":[86,133,178],"query":[87,179],"click":[88,180],"logs":[89],"enrich":[91],"information":[93,115],"extracted":[94],"bootstrapped":[96,147],"models.":[97,150],"We":[98],"use":[99],"clicked":[101],"URLs":[102],"implicit":[104],"supervision":[105],"extend":[107],"graph":[110],"based":[111],"relational":[114],"discovered":[116,129],"The":[120,151],"posteriors":[121],"relate":[126],"newly":[128],"queries.":[134],"These":[135],"then":[138],"used":[139],"additional":[141],"training":[142],"examples":[143],"complement":[145],"relation":[148],"detection":[149],"experimental":[152],"results":[153],"demonstrate":[154],"effectiveness":[156],"of":[157],"approach,":[159],"showing":[160],"extended":[161],"coverage":[162],"without":[166],"impacting":[167],"known":[169],"intents.":[170],"Index":[171],"Terms:":[172],"understanding,":[175],"models,":[177],"logs,":[181],"intent":[182],"discovery.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
