{"id":"https://openalex.org/W4296068409","doi":"https://doi.org/10.21437/interspeech.2022-193","title":"Space-Efficient Representation of Entity-centric Query Language Models","display_name":"Space-Efficient Representation of Entity-centric Query Language Models","publication_year":2022,"publication_date":"2022-09-16","ids":{"openalex":"https://openalex.org/W4296068409","doi":"https://doi.org/10.21437/interspeech.2022-193"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2022-193","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-193","pdf_url":null,"source":{"id":"https://openalex.org/S4363604309","display_name":"Interspeech 2022","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2022","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/A5084609544","display_name":"C Gysel","orcid":"https://orcid.org/0000-0003-3433-7317"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Christophe Van Gysel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110926453","display_name":"Mirko Hannemann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mirko Hannemann","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048094198","display_name":"Ernest Pusateri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ernest Pusateri","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014456106","display_name":"Youssef Oualil","orcid":"https://orcid.org/0009-0002-8528-3339"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Youssef Oualil","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5035766151","display_name":"Ilya Oparin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ilya Oparin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084609544"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0809,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73873749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9911999702453613,"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/T11106","display_name":"Data Management and Algorithms","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8217685222625732},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.6700910925865173},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6438623666763306},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.6272796392440796},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.6126415133476257},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.571491003036499},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5267036557197571},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.479907363653183},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4594823122024536},{"id":"https://openalex.org/keywords/object-query-language","display_name":"Object Query Language","score":0.4316256046295166},{"id":"https://openalex.org/keywords/query-by-example","display_name":"Query by Example","score":0.42743080854415894},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40727031230926514},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40427201986312866},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.3841962218284607},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.27430105209350586},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.14148437976837158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8217685222625732},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.6700910925865173},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6438623666763306},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.6272796392440796},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.6126415133476257},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.571491003036499},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5267036557197571},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.479907363653183},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4594823122024536},{"id":"https://openalex.org/C117667704","wikidata":"https://www.wikidata.org/wiki/Q2011708","display_name":"Object Query Language","level":5,"score":0.4316256046295166},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.42743080854415894},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40727031230926514},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40427201986312866},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.3841962218284607},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.27430105209350586},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.14148437976837158},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2022-193","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-193","pdf_url":null,"source":{"id":"https://openalex.org/S4363604309","display_name":"Interspeech 2022","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2022","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W172155664","https://openalex.org/W1524333225","https://openalex.org/W1582482241","https://openalex.org/W1797288984","https://openalex.org/W1818785862","https://openalex.org/W2035032881","https://openalex.org/W2121227244","https://openalex.org/W2134237567","https://openalex.org/W2137446469","https://openalex.org/W2138309071","https://openalex.org/W2295986819","https://openalex.org/W2578686723","https://openalex.org/W2888975141","https://openalex.org/W2903732155","https://openalex.org/W2952456382","https://openalex.org/W2963143430","https://openalex.org/W2972399846","https://openalex.org/W2997012196","https://openalex.org/W3015480556","https://openalex.org/W3031797310","https://openalex.org/W3131215311","https://openalex.org/W3196902142","https://openalex.org/W4210684870"],"related_works":["https://openalex.org/W2572349046","https://openalex.org/W2026738364","https://openalex.org/W2016231180","https://openalex.org/W1548279772","https://openalex.org/W2591796959","https://openalex.org/W1489445454","https://openalex.org/W1966669067","https://openalex.org/W4381740310","https://openalex.org/W2388669825","https://openalex.org/W3081572596"],"abstract_inverted_index":{"Virtual":[0],"assistants":[1],"make":[2],"use":[3,48],"of":[4,27,49,73],"automatic":[5],"speech":[6],"recognition":[7,17,35],"(ASR)":[8],"to":[9,23,65,88,105],"help":[10],"users":[11],"answer":[12],"entity-centric":[13],"queries.However,":[14],"spoken":[15],"entity":[16,102],"is":[18,40,86,111],"a":[19,62,92,107],"difficult":[20],"problem,":[21],"due":[22],"the":[24,47,56,70,82],"large":[25],"number":[26],"frequently-changing":[28],"named":[29],"entities.In":[30],"addition,":[31],"resources":[32],"available":[33],"for":[34],"are":[36],"constrained":[37],"when":[38,106],"ASR":[39],"performed":[41],"on-device.In":[42],"this":[43],"work,":[44],"we":[45],"investigate":[46],"probabilistic":[50,66],"grammars":[51,67],"as":[52],"language":[53],"models":[54],"within":[55],"finite-state":[57],"transducer":[58],"(FST)":[59],"framework.We":[60],"introduce":[61],"deterministic":[63],"approximation":[64],"that":[68],"avoids":[69],"explicit":[71],"expansion":[72],"non-terminals":[74],"at":[75],"model":[76,110],"creation":[77],"time,":[78],"integrates":[79],"directly":[80],"with":[81],"FST":[83],"framework,":[84],"and":[85],"complementary":[87],"n-gram":[89,109],"models.We":[90],"obtain":[91],"10%":[93],"relative":[94],"word":[95],"error":[96],"rate":[97],"improvement":[98],"on":[99],"long":[100],"tail":[101],"queries":[103],"compared":[104],"similarly-sized":[108],"used":[112],"without":[113],"our":[114],"method.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}