{"id":"https://openalex.org/W2586911388","doi":"https://doi.org/10.1109/slt.2016.7846317","title":"Dialog state tracking with attention-based sequence-to-sequence learning","display_name":"Dialog state tracking with attention-based sequence-to-sequence learning","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2586911388","doi":"https://doi.org/10.1109/slt.2016.7846317","mag":"2586911388"},"language":"en","primary_location":{"id":"doi:10.1109/slt.2016.7846317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2016.7846317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Spoken Language Technology Workshop (SLT)","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/A5087554069","display_name":"Takaaki Hori","orcid":"https://orcid.org/0000-0003-4560-8039"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Takaaki Hori","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452499","display_name":"Hai Wang","orcid":"https://orcid.org/0000-0002-4003-2758"},"institutions":[{"id":"https://openalex.org/I160992636","display_name":"Toyota Technological Institute at Chicago","ror":"https://ror.org/02sn5gb64","country_code":"US","type":"education","lineage":["https://openalex.org/I160992636"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hai Wang","raw_affiliation_strings":["Toyota Technological Institute at Chicago"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyota Technological Institute at Chicago","institution_ids":["https://openalex.org/I160992636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001601327","display_name":"Chiori Hori","orcid":"https://orcid.org/0000-0002-4201-7578"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chiori Hori","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001291873","display_name":"Shinji Watanabe","orcid":"https://orcid.org/0000-0002-5970-8631"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shinji Watanabe","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072669943","display_name":"Bret Harsham","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bret Harsham","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076453358","display_name":"Jonathan Le Roux","orcid":"https://orcid.org/0000-0002-3451-171X"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Le Roux","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112763337","display_name":"John R. Hershey","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John R. Hershey","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090023104","display_name":"Yusuke Koji","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yusuke Koji","raw_affiliation_strings":["Information Technology R&D Center, Mitsubishi Electric Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology R&D Center, Mitsubishi Electric Corporation","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101494756","display_name":"Jing Yi","orcid":"https://orcid.org/0000-0002-6519-2483"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Jing","raw_affiliation_strings":["Information Technology R&D Center, Mitsubishi Electric Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology R&D Center, Mitsubishi Electric Corporation","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038654477","display_name":"Zhaocheng Zhu","orcid":"https://orcid.org/0009-0004-5425-330X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaocheng Zhu","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002889525","display_name":"Takeyuki Aikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Takeyuki Aikawa","raw_affiliation_strings":["Information Technology R&D Center, Mitsubishi Electric Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology R&D Center, Mitsubishi Electric Corporation","institution_ids":["https://openalex.org/I4210159266"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"abs 1409 473","issue":null,"first_page":"552","last_page":"558"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9997000098228455,"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":0.9983999729156494,"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/dialog-box","display_name":"Dialog box","score":0.8702134490013123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7685167789459229},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6407835483551025},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.6173208951950073},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5993390083312988},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5869039297103882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.580184817314148},{"id":"https://openalex.org/keywords/dialog-system","display_name":"Dialog system","score":0.5677165985107422},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5601809620857239},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5077882409095764},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.48208314180374146},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4736779034137726},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4573892652988434},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4364226460456848},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38542571663856506},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.1901177167892456},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13053488731384277},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.064995676279068}],"concepts":[{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.8702134490013123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7685167789459229},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6407835483551025},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.6173208951950073},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5993390083312988},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5869039297103882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.580184817314148},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.5677165985107422},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5601809620857239},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5077882409095764},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.48208314180374146},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4736779034137726},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4573892652988434},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4364226460456848},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38542571663856506},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.1901177167892456},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13053488731384277},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.064995676279068},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/slt.2016.7846317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2016.7846317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.47999998927116394,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W854541894","https://openalex.org/W2021836477","https://openalex.org/W2024632416","https://openalex.org/W2064675550","https://openalex.org/W2076440176","https://openalex.org/W2108366050","https://openalex.org/W2129657639","https://openalex.org/W2133564696","https://openalex.org/W2143612262","https://openalex.org/W2153579005","https://openalex.org/W2250595585","https://openalex.org/W2251235149","https://openalex.org/W2400801499","https://openalex.org/W2464790259","https://openalex.org/W2493164028","https://openalex.org/W2512793613","https://openalex.org/W2759621817","https://openalex.org/W2963970400","https://openalex.org/W2964308564","https://openalex.org/W4254836149","https://openalex.org/W4294170691","https://openalex.org/W6679434410","https://openalex.org/W6682691769","https://openalex.org/W6691246603","https://openalex.org/W6708962948","https://openalex.org/W6719499323","https://openalex.org/W7062426373"],"related_works":["https://openalex.org/W2013809956","https://openalex.org/W2170602802","https://openalex.org/W2165288811","https://openalex.org/W2278256305","https://openalex.org/W1900635591","https://openalex.org/W60355790","https://openalex.org/W41934285","https://openalex.org/W112865305","https://openalex.org/W1973109623","https://openalex.org/W1628671981"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2,58,62,67],"advanced":[3],"dialog":[4,26,49],"state":[5,27],"tracking":[6],"system":[7,56],"designed":[8],"for":[9,103,109],"the":[10,25,35,44,48,52,82,85,89,92,96,107,110,120,130,135,150,157,163],"5th":[11],"Dialog":[12],"State":[13],"Tracking":[14],"Challenge":[15],"(DSTC5).":[16],"The":[17],"main":[18],"task":[19],"of":[20,40,47,74,84,141,152],"DSTC5":[21],"is":[22],"to":[23,51,65,71,116,119,162],"track":[24],"in":[28],"a":[29,38,72],"human-human":[30],"dialog.":[31],"For":[32],"each":[33,142,153],"utterance,":[34],"tracker":[36,98],"emits":[37],"frame":[39],"slot-value":[41,78],"pairs":[42],"considering":[43],"full":[45],"history":[46],"up":[50],"current":[53],"turn.":[54],"Our":[55],"includes":[57],"encoder-decoder":[59],"architecture":[60],"with":[61,99],"attention":[63],"mechanism":[64],"map":[66],"input":[68],"word":[69],"sequence":[70],"set":[73,112,159],"semantic":[75],"labels,":[76],"i.e.,":[77],"pairs.":[79],"This":[80],"handles":[81],"problem":[83],"unknown":[86],"alignment":[87],"between":[88],"utterances":[90],"and":[91,105,137,155],"labels.":[93],"By":[94],"combining":[95],"attention-based":[97],"rule-based":[100],"trackers":[101],"elaborated":[102],"English":[104],"Chinese,":[106],"F-score":[108,127],"development":[111],"improved":[113],"from":[114],"0.475":[115],"0.507":[117],"compared":[118],"rule-only":[121],"trackers.":[122],"Moreover,":[123],"we":[124,147],"achieved":[125],"0.517":[126],"by":[128],"refining":[129],"combination":[131],"strategy":[132],"based":[133],"on":[134],"topic":[136],"slot":[138],"level":[139],"performance":[140],"tracker.":[143],"In":[144],"this":[145],"paper,":[146],"also":[148],"validate":[149],"efficacy":[151],"technique":[154],"report":[156],"test":[158],"results":[160],"submitted":[161],"challenge.":[164]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
