{"id":"https://openalex.org/W2963887424","doi":"https://doi.org/10.18653/v1/w19-5921","title":"Structured Fusion Networks for Dialog","display_name":"Structured Fusion Networks for Dialog","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2963887424","doi":"https://doi.org/10.18653/v1/w19-5921","mag":"2963887424"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w19-5921","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-5921","pdf_url":"https://www.aclweb.org/anthology/W19-5921.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 20th Annual SIGdial Meeting on Discourse and Dialogue","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/W19-5921.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014641065","display_name":"Shikib Mehri","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shikib Mehri","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University","Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082028315","display_name":"Tejas Srinivasan","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tejas Srinivasan","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University","Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077285164","display_name":"Maxine Esk\u00e9nazi","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maxine Eskenazi","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University","Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7353,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88687163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"165","last_page":"177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/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":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.9226934909820557},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.8183997273445129},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7676503658294678},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7249839901924133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6381291151046753},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.605172336101532},{"id":"https://openalex.org/keywords/dialog-system","display_name":"Dialog system","score":0.5123215913772583},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5087452530860901},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43343034386634827},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4299909770488739},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41846853494644165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08009171485900879}],"concepts":[{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.9226934909820557},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.8183997273445129},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7676503658294678},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7249839901924133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6381291151046753},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.605172336101532},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.5123215913772583},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5087452530860901},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43343034386634827},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4299909770488739},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41846853494644165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08009171485900879},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/w19-5921","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-5921","pdf_url":"https://www.aclweb.org/anthology/W19-5921.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 20th Annual SIGdial Meeting on Discourse and Dialogue","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1907.10016","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.10016","pdf_url":"https://arxiv.org/pdf/1907.10016","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":"","raw_type":"text"},{"id":"mag:2963887424","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1907.10016","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":"doi:10.48550/arxiv.1907.10016","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1907.10016","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/w19-5921","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-5921","pdf_url":"https://www.aclweb.org/anthology/W19-5921.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 20th Annual SIGdial Meeting on Discourse and Dialogue","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963887424.pdf","grobid_xml":"https://content.openalex.org/works/W2963887424.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W36434594","https://openalex.org/W635530177","https://openalex.org/W1591706642","https://openalex.org/W1915251500","https://openalex.org/W2064675550","https://openalex.org/W2101105183","https://openalex.org/W2127838323","https://openalex.org/W2130942839","https://openalex.org/W2311783643","https://openalex.org/W2402302915","https://openalex.org/W2410983263","https://openalex.org/W2513629222","https://openalex.org/W2578466053","https://openalex.org/W2625113742","https://openalex.org/W2698810342","https://openalex.org/W2748679025","https://openalex.org/W2798389811","https://openalex.org/W2800958914","https://openalex.org/W2891732163","https://openalex.org/W2913443447","https://openalex.org/W2947480709","https://openalex.org/W2947972709","https://openalex.org/W2950903920","https://openalex.org/W2951877072","https://openalex.org/W2962883855","https://openalex.org/W2963206148","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2964121744","https://openalex.org/W2964222296","https://openalex.org/W2964308564"],"related_works":["https://openalex.org/W2979520138","https://openalex.org/W2963341956","https://openalex.org/W2101105183","https://openalex.org/W2891732163","https://openalex.org/W2798914047","https://openalex.org/W2800958914","https://openalex.org/W2989692108","https://openalex.org/W2947480709","https://openalex.org/W2997510038","https://openalex.org/W3189817881","https://openalex.org/W3034533785","https://openalex.org/W2963797754","https://openalex.org/W3035301094","https://openalex.org/W3087641101","https://openalex.org/W2970667965","https://openalex.org/W2763433602","https://openalex.org/W3159083973","https://openalex.org/W3129676884","https://openalex.org/W2951959429","https://openalex.org/W2979478117"],"abstract_inverted_index":{"Neural":[0],"dialog":[1,35,64,73],"models":[2,40,55],"have":[3,38,107],"exhibited":[4],"strong":[5,39,89],"performance,":[6],"however":[7],"their":[8],"end-to-end":[9],"nature":[10],"lacks":[11],"a":[12,23,29,81],"representation":[13],"of":[14,18,25,41,56,71],"the":[15,68,92],"explicit":[16,42],"structure":[17,52],"dialog.":[19,57],"This":[20,44],"results":[21,90],"in":[22,80,117],"loss":[24],"generalizability,":[26,114],"controllability":[27],"and":[28,75,97,121],"data-hungry":[30],"nature.":[31],"Conversely,":[32],"more":[33],"traditional":[34,72],"systems":[36,74],"do":[37],"structure.":[43],"paper":[45],"introduces":[46],"several":[47,108],"approaches":[48],"for":[49],"explicitly":[50],"incorporating":[51],"into":[53],"neural":[54,63],"Structured":[58,85,101],"Fusion":[59,86,102],"Networks":[60,87,103],"first":[61],"learn":[62],"modules":[65,79],"corresponding":[66],"to":[67,106,123],"structured":[69],"components":[70],"then":[76],"incorporate":[77],"these":[78],"higher-level":[82],"generative":[83],"model.":[84],"obtain":[88],"on":[91],"MultiWOZ":[93],"dataset,":[94],"both":[95],"with":[96],"without":[98],"reinforcement":[99,126],"learning.":[100,127],"are":[104],"shown":[105],"valuable":[109],"properties,":[110],"including":[111],"better":[112],"domain":[113],"improved":[115],"performance":[116],"reduced":[118],"data":[119],"scenarios":[120],"robustness":[122],"divergence":[124],"during":[125]},"counts_by_year":[{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
