{"id":"https://openalex.org/W1604102475","doi":"https://doi.org/10.1109/taslp.2015.2470597","title":"Constrained Markov Bayesian Polynomial for Efficient Dialogue State Tracking","display_name":"Constrained Markov Bayesian Polynomial for Efficient Dialogue State Tracking","publication_year":2015,"publication_date":"2015-08-20","ids":{"openalex":"https://openalex.org/W1604102475","doi":"https://doi.org/10.1109/taslp.2015.2470597","mag":"1604102475"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2015.2470597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2015.2470597","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5101453973","display_name":"Kai Yu","orcid":"https://orcid.org/0000-0002-9760-7751"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Yu","raw_affiliation_strings":["Computer Science and Engineering Department, Shanghai Jiao Tong University, Shanghai, Minhang District, P. R. China"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Shanghai Jiao Tong University, Shanghai, Minhang District, P. R. China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053739372","display_name":"Kai Sun","orcid":"https://orcid.org/0000-0003-2281-5051"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai Sun","raw_affiliation_strings":["Department of Computer Science, Cornell University, Ithaca, NY, United States","Department of Computer Science, Cornell University, Ithaca, United States"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cornell University, Ithaca, NY, United States","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Department of Computer Science, Cornell University, Ithaca, United States","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432127","display_name":"Lu Chen","orcid":"https://orcid.org/0009-0009-4731-1264"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Chen","raw_affiliation_strings":["Computer Science and Engineering Department, Shanghai Jiao Tong University, Shanghai, Minhang District, P. R. China"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Shanghai Jiao Tong University, Shanghai, Minhang District, P. R. China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014803465","display_name":"Su Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Su Zhu","raw_affiliation_strings":["Computer Science and Engineering Department, Shanghai Jiao Tong University, Shanghai, Minhang District, P. R. China"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Shanghai Jiao Tong University, Shanghai, Minhang District, P. R. China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101453973"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.5886,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.91139635,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":"12","first_page":"2177","last_page":"2188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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"}},"topics":[{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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/T10028","display_name":"Topic Modeling","score":0.9883999824523926,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9850999712944031,"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":0.6303005218505859},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5225805044174194},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.4891248345375061},{"id":"https://openalex.org/keywords/software-portability","display_name":"Software portability","score":0.4510927200317383},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4403047561645508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38188907504081726},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3446784019470215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27084091305732727}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6303005218505859},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5225805044174194},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4891248345375061},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.4510927200317383},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4403047561645508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38188907504081726},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3446784019470215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27084091305732727},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/taslp.2015.2470597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2015.2470597","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320719","display_name":"Department of Science and Technology, Ministry of Science and Technology, India","ror":"https://ror.org/0101xrq71"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W47495561","https://openalex.org/W1785674045","https://openalex.org/W1984541135","https://openalex.org/W1985992429","https://openalex.org/W1986362700","https://openalex.org/W1993567041","https://openalex.org/W2014328192","https://openalex.org/W2044704181","https://openalex.org/W2047263433","https://openalex.org/W2055537935","https://openalex.org/W2080045301","https://openalex.org/W2085623775","https://openalex.org/W2108806737","https://openalex.org/W2115101920","https://openalex.org/W2119015791","https://openalex.org/W2171074980","https://openalex.org/W2250176356","https://openalex.org/W2250297846","https://openalex.org/W2250456405","https://openalex.org/W2250487527","https://openalex.org/W2250589450","https://openalex.org/W2251058040","https://openalex.org/W2251149342","https://openalex.org/W2251235149","https://openalex.org/W2251355666","https://openalex.org/W2251527109","https://openalex.org/W2438667436","https://openalex.org/W6638115398","https://openalex.org/W6676271009","https://openalex.org/W6691139419","https://openalex.org/W6691246603","https://openalex.org/W6691412894","https://openalex.org/W6691481695","https://openalex.org/W6691555828"],"related_works":["https://openalex.org/W1584537303","https://openalex.org/W2750549761","https://openalex.org/W28826848","https://openalex.org/W2122272819","https://openalex.org/W4367156293","https://openalex.org/W1872724644","https://openalex.org/W2130894091","https://openalex.org/W2994151208","https://openalex.org/W195225673","https://openalex.org/W107105315"],"abstract_inverted_index":{"Dialogue":[0],"state":[1],"tracking":[2,60],"(DST)":[3],"is":[4,64,89,108,125,150,218],"a":[5,80,96,105,111,115,139],"process":[6],"to":[7,42,58,67,91,138,153],"estimate":[8],"the":[9,12,20,49,69,166,170,172,175,208],"distribution":[10],"of":[11,28,35,51,114,117,169],"dialogue":[13,17],"states":[14],"at":[15],"each":[16],"turn":[18],"given":[19],"interaction":[21],"history.":[22],"Although":[23],"data-driven":[24,59,101,199],"statistical":[25,200,210],"approaches":[26,61,197,201,212],"are":[27,54,75],"most":[29],"interest,":[30],"there":[31],"have":[32],"been":[33],"attempts":[34],"using":[36],"rule-based":[37,93,196],"methods":[38,53],"for":[39],"DST,":[40],"due":[41],"their":[43],"simplicity,":[44],"efficiency":[45],"and":[46,62,99,174,190,198],"portability.":[47],"However,":[48],"performance":[50,71],"these":[52,128],"usually":[55],"not":[56,65],"competitive":[57],"it":[63],"possible":[66],"improve":[68],"DST":[70,94,106,211],"when":[72],"training":[73],"data":[74,167],"available.":[76],"In":[77],"this":[78],"paper,":[79],"novel":[81],"hybrid":[82],"framework,":[83],"constrained":[84,140],"Markov":[85],"Bayesian":[86],"polynomial":[87,112],"(CMBP),":[88],"proposed":[90],"formulate":[92],"in":[95,127],"general":[97],"way":[98],"allow":[100],"rule":[102,107],"generation.":[103],"Here,":[104],"defined":[109],"as":[110],"function":[113],"set":[116],"probabilities":[118],"satisfying":[119],"certain":[120],"linear":[121,142],"constraints.":[122,129],"Prior":[123],"knowledge":[124],"encoded":[126],"Under":[130],"reasonable":[131],"assumptions,":[132],"CMBP":[133,148,154,162,185,217],"optimization":[134],"can":[135,191],"be":[136],"converted":[137],"integer":[141,146],"programming":[143],"problem.":[144],"The":[145],"coefficient":[147],"model":[149],"further":[151],"extended":[152],"with":[155,202,207,213],"real":[156],"coefficients":[157],"by":[158],"applying":[159],"grid":[160],"search.":[161],"was":[163],"evaluated":[164],"on":[165],"corpora":[168],"first,":[171],"second,":[173],"third":[176],"Dialog":[177],"State":[178],"Tracking":[179],"Challenge":[180],"(DSTC-1/2/3).":[181],"Experiments":[182],"showed":[183],"that":[184],"has":[186],"good":[187],"generalization":[188],"ability":[189],"significantly":[192],"outperform":[193],"both":[194],"traditional":[195],"similar":[203],"feature":[204],"set.":[205],"Compared":[206],"state-of-the-art":[209],"much":[214],"richer":[215],"features,":[216],"also":[219],"competitive.":[220]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}