{"id":"https://openalex.org/W2737437102","doi":"https://doi.org/10.18653/v1/w17-4602","title":"Encoding Word Confusion Networks with Recurrent Neural Networks for Dialog State Tracking","display_name":"Encoding Word Confusion Networks with Recurrent Neural Networks for Dialog State Tracking","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2737437102","doi":"https://doi.org/10.18653/v1/w17-4602","mag":"2737437102"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-4602","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4602","pdf_url":"https://www.aclweb.org/anthology/W17-4602.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Speech-Centric Natural Language Processing","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-4602.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080942467","display_name":"Glorianna Jagfeld","orcid":"https://orcid.org/0000-0001-7588-1533"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Glorianna Jagfeld","raw_affiliation_strings":["Institute for Natural Language Processing (IMS) Universitt Stuttgart Pfaffenwaldring 5B 70569 Stuttgart"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Natural Language Processing (IMS) Universitt Stuttgart Pfaffenwaldring 5B 70569 Stuttgart","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020700841","display_name":"Ngoc Thang Vu","orcid":"https://orcid.org/0000-0001-7893-9147"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ngoc Thang Vu","raw_affiliation_strings":["Institute for Natural Language Processing (IMS) Universitt Stuttgart Pfaffenwaldring 5B 70569 Stuttgart"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Natural Language Processing (IMS) Universitt Stuttgart Pfaffenwaldring 5B 70569 Stuttgart","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0867568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"10","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9991999864578247,"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":0.9975000023841858,"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":0.9199615716934204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7721706032752991},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.6372131109237671},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6217190027236938},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6145017743110657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5735008716583252},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5606873035430908},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5572255849838257},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46643972396850586},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4624604880809784},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.43618083000183105},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.42929479479789734},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4258258044719696},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3958635926246643},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0747753381729126},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.051764845848083496}],"concepts":[{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.9199615716934204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7721706032752991},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.6372131109237671},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6217190027236938},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6145017743110657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5735008716583252},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5606873035430908},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5572255849838257},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46643972396850586},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4624604880809784},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.43618083000183105},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.42929479479789734},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4258258044719696},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3958635926246643},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0747753381729126},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.051764845848083496},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.18653/v1/w17-4602","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4602","pdf_url":"https://www.aclweb.org/anthology/W17-4602.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Speech-Centric Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1707.05853","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.05853","pdf_url":"https://arxiv.org/pdf/1707.05853","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2737437102","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1707.05853.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:eprints.lancs.ac.uk:130541","is_oa":false,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/130541/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Contribution in Book/Report/Proceedings"},{"id":"doi:10.48550/arxiv.1707.05853","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1707.05853","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-4602","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4602","pdf_url":"https://www.aclweb.org/anthology/W17-4602.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Speech-Centric Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320325850","display_name":"Universit\u00e4t Stuttgart","ror":"https://ror.org/04vnq7t77"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2737437102.pdf","grobid_xml":"https://content.openalex.org/works/W2737437102.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W1978347212","https://openalex.org/W2533523411"],"related_works":["https://openalex.org/W2963585775","https://openalex.org/W2250297846","https://openalex.org/W2963243930","https://openalex.org/W2276542473","https://openalex.org/W2251163406","https://openalex.org/W2889316516","https://openalex.org/W2573660649","https://openalex.org/W2587385466","https://openalex.org/W2136487259","https://openalex.org/W3017862536","https://openalex.org/W2158373110","https://openalex.org/W2293858598","https://openalex.org/W2952998108","https://openalex.org/W2802051959","https://openalex.org/W2891539192","https://openalex.org/W2161112542","https://openalex.org/W3211053973","https://openalex.org/W2098500169","https://openalex.org/W2098355803","https://openalex.org/W1998080077"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"our":[3,32],"novel":[4],"method":[5],"to":[6],"encode":[7],"word":[8],"confusion":[9,53],"networks,":[10],"which":[11],"can":[12],"represent":[13],"a":[14,66],"rich":[15],"hypothesis":[16,59],"space":[17],"of":[18,31,37,60],"automatic":[19,48,62],"speech":[20,49,63],"recognition":[21,50,64],"systems,":[22],"via":[23],"recurrent":[24],"neural":[25,67],"networks.":[26],"We":[27],"demonstrate":[28],"the":[29,35,57,61,74],"utility":[30],"approach":[33],"for":[34,69],"task":[36],"dialog":[38,43,70],"state":[39,71],"tracking":[40,72],"in":[41,65],"spoken":[42],"systems":[44],"that":[45],"relies":[46],"on":[47,73],"output.":[51],"Encoding":[52],"networks":[54],"outperforms":[55],"encoding":[56],"best":[58],"system":[68],"well-known":[75],"second":[76],"Dialog":[77],"State":[78],"Tracking":[79],"Challenge":[80],"dataset.":[81]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
