{"id":"https://openalex.org/W2290094757","doi":"https://doi.org/10.1109/asru.2015.7404822","title":"Natural language understanding for partial queries","display_name":"Natural language understanding for partial queries","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2290094757","doi":"https://doi.org/10.1109/asru.2015.7404822","mag":"2290094757"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2015.7404822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2015.7404822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)","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/A5100689574","display_name":"Xiaohu Liu","orcid":"https://orcid.org/0000-0002-1491-2903"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohu Liu","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030468199","display_name":"Asl\u0131 \u00c7eliky\u0131lmaz","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Asli Celikyilmaz","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"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/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruhi Sarikaya","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"397","last_page":"400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/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":0.9977999925613403,"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":0.8846996426582336},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.6499876976013184},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5764986276626587},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5587636828422546},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5518041849136353},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4978172779083252},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4852897822856903},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4839070737361908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47986191511154175},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4696848690509796},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46330907940864563},{"id":"https://openalex.org/keywords/natural-language-user-interface","display_name":"Natural language user interface","score":0.45963722467422485},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2570818364620209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8846996426582336},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.6499876976013184},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5764986276626587},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5587636828422546},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5518041849136353},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4978172779083252},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4852897822856903},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4839070737361908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47986191511154175},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4696848690509796},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46330907940864563},{"id":"https://openalex.org/C174252522","wikidata":"https://www.wikidata.org/wiki/Q3816772","display_name":"Natural language user interface","level":3,"score":0.45963722467422485},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2570818364620209},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asru.2015.7404822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2015.7404822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5799999833106995,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W117849194","https://openalex.org/W648947103","https://openalex.org/W1533349965","https://openalex.org/W1604621732","https://openalex.org/W1649407914","https://openalex.org/W1989234058","https://openalex.org/W2004672974","https://openalex.org/W2025568499","https://openalex.org/W2027913322","https://openalex.org/W2045804781","https://openalex.org/W2093245971","https://openalex.org/W2093646604","https://openalex.org/W2121227244","https://openalex.org/W2142506199","https://openalex.org/W2153190884","https://openalex.org/W2158049734","https://openalex.org/W2398943999","https://openalex.org/W2405093476","https://openalex.org/W2405554160","https://openalex.org/W2407610416","https://openalex.org/W2766929078","https://openalex.org/W6678277124","https://openalex.org/W6683161899","https://openalex.org/W6712472688","https://openalex.org/W6713414216","https://openalex.org/W6713452536","https://openalex.org/W6745387718"],"related_works":["https://openalex.org/W2112751186","https://openalex.org/W1968262010","https://openalex.org/W3036268427","https://openalex.org/W3158218201","https://openalex.org/W1550490297","https://openalex.org/W2605168037","https://openalex.org/W2401646948","https://openalex.org/W3134925693","https://openalex.org/W2099417110","https://openalex.org/W2032694873"],"abstract_inverted_index":{"Typical":[0],"natural":[1,22,107],"language":[2,108],"understanding":[3,78],"systems":[4],"are":[5],"built":[6,80],"based":[7],"on":[8,42,81,89],"the":[9,16,53,57,61,64,74,99,138,141,154,159,169],"assumption":[10],"that":[11,153],"they":[12],"have":[13],"access":[14],"to":[15,28,51,118,121,164,168],"fully":[17,82],"formed":[18,83],"complete":[19],"queries.":[20,93,109],"Today's":[21],"user":[23,58],"interfaces,":[24],"however,":[25],"enable":[26],"users":[27],"interact":[29],"with":[30,63],"various":[31],"services":[32],"and":[33,45,71,137],"agents":[34],"(e.g.":[35],"search":[36],"engines,":[37],"personal":[38],"digital":[39],"assistants)":[40],"running":[41],"desktop":[43],"computers":[44],"laptops.":[46],"The":[47,128],"system":[48,68],"is":[49,59,140],"expected":[50],"understand":[52],"user's":[54,75],"intent":[55],"while":[56],"typing":[60],"query":[62],"goal":[65],"of":[66,101,114,133,147],"increasing":[67],"response":[69],"rate":[70],"ultimately":[72],"improving":[73],"productivity.":[76],"Language":[77],"models":[79],"queries":[84],"perform":[85],"poorly":[86],"when":[87],"tested":[88],"partial":[90,106],"or":[91],"incomplete":[92],"In":[94],"this":[95],"study,":[96],"we":[97],"consider":[98],"problem":[100],"domain":[102,125],"detection":[103],"for":[104],"typed":[105],"We":[110],"design":[111],"two":[112,155],"sets":[113,157],"features":[115,120,143],"in":[116,166],"addition":[117],"lexical":[119,170],"train":[122],"a":[123],"multi-valued":[124],"classification":[126],"model.":[127],"first":[129],"feature":[130,156],"set":[131],"consists":[132],"character":[134],"n-gram":[135,171],"features,":[136],"second":[139],"class-based":[142],"extracted":[144],"from":[145],"clustering":[146],"word":[148],"embeddings.":[149],"Our":[150],"experiments":[151],"show":[152],"improve":[158],"model's":[160],"performance":[161],"by":[162],"up":[163],"52.8%":[165],"comparison":[167],"baselines.":[172]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}