{"id":"https://openalex.org/W2050766530","doi":"https://doi.org/10.1109/asru.2013.6707710","title":"Semantic entity detection from multiple ASR hypotheses within the WFST framework","display_name":"Semantic entity detection from multiple ASR hypotheses within the WFST framework","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2050766530","doi":"https://doi.org/10.1109/asru.2013.6707710","mag":"2050766530"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2013.6707710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2013.6707710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Automatic Speech Recognition and Understanding","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/A5072542443","display_name":"J\u00e1n \u0160vec","orcid":"https://orcid.org/0000-0001-8362-5927"},"institutions":[{"id":"https://openalex.org/I92715842","display_name":"University of West Bohemia in Pilsen","ror":"https://ror.org/040t43x18","country_code":"CZ","type":"education","lineage":["https://openalex.org/I92715842"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Jan Svec","raw_affiliation_strings":["Department of Cybernetics, University of West Bohemia, Pilsen, Czech Republic","Dept. of Cybern., Univ. of West Bohemia, Pilsen, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cybernetics, University of West Bohemia, Pilsen, Czech Republic","institution_ids":["https://openalex.org/I92715842"]},{"raw_affiliation_string":"Dept. of Cybern., Univ. of West Bohemia, Pilsen, Czech Republic","institution_ids":["https://openalex.org/I92715842"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047784245","display_name":"Pavel Ircing","orcid":"https://orcid.org/0000-0001-6967-1687"},"institutions":[{"id":"https://openalex.org/I92715842","display_name":"University of West Bohemia in Pilsen","ror":"https://ror.org/040t43x18","country_code":"CZ","type":"education","lineage":["https://openalex.org/I92715842"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Pavel Ircing","raw_affiliation_strings":["Department of Cybernetics, University of West Bohemia, Pilsen, Czech Republic","Dept. of Cybern., Univ. of West Bohemia, Pilsen, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cybernetics, University of West Bohemia, Pilsen, Czech Republic","institution_ids":["https://openalex.org/I92715842"]},{"raw_affiliation_string":"Dept. of Cybern., Univ. of West Bohemia, Pilsen, Czech Republic","institution_ids":["https://openalex.org/I92715842"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082381758","display_name":"Lubo\u0161 \u0160m\u00eddl","orcid":"https://orcid.org/0000-0002-8169-2410"},"institutions":[{"id":"https://openalex.org/I92715842","display_name":"University of West Bohemia in Pilsen","ror":"https://ror.org/040t43x18","country_code":"CZ","type":"education","lineage":["https://openalex.org/I92715842"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Lubos Smidl","raw_affiliation_strings":["Department of Cybernetics, University of West Bohemia, Pilsen, Czech Republic","Dept. of Cybern., Univ. of West Bohemia, Pilsen, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cybernetics, University of West Bohemia, Pilsen, Czech Republic","institution_ids":["https://openalex.org/I92715842"]},{"raw_affiliation_string":"Dept. of Cybern., Univ. of West Bohemia, Pilsen, Czech Republic","institution_ids":["https://openalex.org/I92715842"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9648,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.91677773,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"4188","issue":null,"first_page":"84","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9987000226974487,"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":0.9983999729156494,"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":0.8215368986129761},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5891638398170471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.577905535697937},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5684581398963928},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5452526211738586},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.4562370479106903},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.4315285086631775},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4297483563423157},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.423667848110199},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3311879634857178},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1202150285243988},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11214959621429443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8215368986129761},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5891638398170471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.577905535697937},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5684581398963928},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5452526211738586},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.4562370479106903},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.4315285086631775},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4297483563423157},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.423667848110199},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3311879634857178},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1202150285243988},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11214959621429443},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asru.2013.6707710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2013.6707710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Workshop on Automatic Speech Recognition and Understanding","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315323","display_name":"Technology Agency of the Czech Republic","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W91689489","https://openalex.org/W1495857731","https://openalex.org/W1501061091","https://openalex.org/W1525128434","https://openalex.org/W1582482241","https://openalex.org/W1989996186","https://openalex.org/W2007261869","https://openalex.org/W2083854104","https://openalex.org/W2099684468","https://openalex.org/W2110462621","https://openalex.org/W2125528794","https://openalex.org/W2159875193","https://openalex.org/W2167338739","https://openalex.org/W2319093871","https://openalex.org/W6629504329","https://openalex.org/W6629904960","https://openalex.org/W6679317074"],"related_works":["https://openalex.org/W1982477181","https://openalex.org/W4285488523","https://openalex.org/W2407837381","https://openalex.org/W2011367623","https://openalex.org/W2734065904","https://openalex.org/W2049289069","https://openalex.org/W2067843453","https://openalex.org/W4239320552","https://openalex.org/W2392692716","https://openalex.org/W2242084152"],"abstract_inverted_index":{"The":[0,70,113,155,185],"paper":[1,186],"presents":[2],"a":[3,26,89,102,163,175],"novel":[4],"approach":[5,35,167],"to":[6,30,45,96,105,118,170],"named":[7,21],"entity":[8,38,152],"detection":[9,153],"from":[10],"ASR":[11,61,111,129],"lattices.":[12],"Since":[13],"the":[14,20,36,41,51,60,74,77,86,97,110,120,136,146,160,172,181,191,196,201],"described":[15],"method":[16,157,182],"not":[17],"only":[18],"detects":[19],"entities":[22],"but":[23],"also":[24,116,158],"assigns":[25],"detailed":[27],"semantic":[28,37,151],"interpretation":[29],"them,":[31],"we":[32,133],"call":[33],"our":[34,150],"detection.":[39],"All":[40],"algorithms":[42],"are":[43,63],"designed":[44],"use":[46,101,119,135],"automata":[47],"operations":[48,143],"defined":[49],"within":[50],"framework":[52,115],"of":[53,76,88,109,127,139,162,190],"weighted":[54,68],"finite":[55],"state":[56],"transducers":[57],"(WFST)":[58],"-":[59],"lattices":[62,206],"nowadays":[64],"frequently":[65],"represented":[66],"as":[67,124],"acceptors.":[69],"expert":[71],"knowledge":[72],"about":[73],"semantics":[75],"task":[78],"at":[79],"hand":[80],"can":[81,134],"be":[82],"first":[83],"expressed":[84],"in":[85,145],"form":[87],"context":[90],"free":[91],"grammar":[92],"and":[93,141,178,194,207],"then":[94],"converted":[95],"FST":[98],"form.":[99],"We":[100],"WFST":[103,114],"optimization":[104,142],"obtain":[106],"compact":[107],"representation":[108,126],"lattice.":[112],"allows":[117,168],"word":[121,203,208],"confusion":[122,209],"networks":[123],"another":[125],"multiple":[128],"hypotheses.":[130],"That":[131],"way":[132],"full":[137],"power":[138],"composition":[140],"implemented":[144],"OpenFST":[147],"toolkit":[148],"for":[149,174],"algorithm.":[154],"devised":[156],"employs":[159],"concept":[161],"factor":[164],"automaton;":[165],"this":[166],"us":[169],"overcome":[171],"need":[173],"filler":[176],"model":[177],"consequently":[179],"makes":[180],"more":[183],"general.":[184],"includes":[187],"experimental":[188],"evaluation":[189],"proposed":[192],"algorithm":[193],"compares":[195],"performance":[197],"obtained":[198],"by":[199],"using":[200],"one-best":[202],"hypothesis,":[204],"optimized":[205],"networks.":[210]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}