{"id":"https://openalex.org/W2910795780","doi":"https://doi.org/10.1162/tacl_a_00284","title":"Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems","display_name":"Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems","publication_year":2019,"publication_date":"2019-09-11","ids":{"openalex":"https://openalex.org/W2910795780","doi":"https://doi.org/10.1162/tacl_a_00284","mag":"2910795780"},"language":"en","primary_location":{"id":"doi:10.1162/tacl_a_00284","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00284","pdf_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00284/1923450/tacl_a_00284.pdf","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00284/1923450/tacl_a_00284.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112386897","display_name":"Suman Banerjee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151956","display_name":"Robert Bosch (India)","ror":"https://ror.org/04my8ty22","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210151956","https://openalex.org/I889804353"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Suman Banerjee","raw_affiliation_strings":["Department of Computer Science and Engineering, Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI), Indian Institute of Technology Madras, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI), Indian Institute of Technology Madras, India","institution_ids":["https://openalex.org/I4210151956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050036814","display_name":"Mitesh M. Khapra","orcid":"https://orcid.org/0009-0008-3687-9922"},"institutions":[{"id":"https://openalex.org/I4210151956","display_name":"Robert Bosch (India)","ror":"https://ror.org/04my8ty22","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210151956","https://openalex.org/I889804353"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Mitesh M. Khapra","raw_affiliation_strings":["Department of Computer Science and Engineering, Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI), Indian Institute of Technology Madras, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI), Indian Institute of Technology Madras, India","institution_ids":["https://openalex.org/I4210151956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050036814","https://openalex.org/A5112386897"],"corresponding_institution_ids":["https://openalex.org/I4210151956"],"apc_list":null,"apc_paid":null,"fwci":3.5101,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.93759412,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"485","last_page":"500"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9997000098228455,"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/T12031","display_name":"Speech and dialogue systems","score":0.9979000091552734,"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":0.9092994928359985},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.6676421761512756},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6432307958602905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5718852281570435},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5630204081535339},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.5168429017066956},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5033230185508728},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.4313860535621643},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.41998663544654846},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21927675604820251}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9092994928359985},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.6676421761512756},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6432307958602905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5718852281570435},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5630204081535339},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.5168429017066956},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5033230185508728},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.4313860535621643},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.41998663544654846},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21927675604820251},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/tacl_a_00284","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00284","pdf_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00284/1923450/tacl_a_00284.pdf","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7af34811918c467c9e9d1c56a80b3b36","is_oa":true,"landing_page_url":"https://doaj.org/article/7af34811918c467c9e9d1c56a80b3b36","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Transactions of the Association for Computational Linguistics, Vol 7, Pp 485-500 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/tacl_a_00284","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00284","pdf_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00284/1923450/tacl_a_00284.pdf","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307894","display_name":"Accenture","ror":"https://ror.org/013g16z83"},{"id":"https://openalex.org/F4320322211","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2910795780.pdf","grobid_xml":"https://content.openalex.org/works/W2910795780.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1026270304","https://openalex.org/W1593045043","https://openalex.org/W1593271688","https://openalex.org/W1793121960","https://openalex.org/W1993567041","https://openalex.org/W2007709031","https://openalex.org/W2095028708","https://openalex.org/W2095705004","https://openalex.org/W2096071381","https://openalex.org/W2101105183","https://openalex.org/W2110485445","https://openalex.org/W2154652894","https://openalex.org/W2157331557","https://openalex.org/W2160219061","https://openalex.org/W2173027866","https://openalex.org/W2194775991","https://openalex.org/W2251058040","https://openalex.org/W2251235149","https://openalex.org/W2399880602","https://openalex.org/W2438667436","https://openalex.org/W2468907370","https://openalex.org/W2534274346","https://openalex.org/W2559655401","https://openalex.org/W2576639250","https://openalex.org/W2596567068","https://openalex.org/W2600702321","https://openalex.org/W2607303097","https://openalex.org/W2612560781","https://openalex.org/W2617837836","https://openalex.org/W2623751800","https://openalex.org/W2698810342","https://openalex.org/W2747329762","https://openalex.org/W2750894112","https://openalex.org/W2753392522","https://openalex.org/W2799119017","https://openalex.org/W2900065283","https://openalex.org/W2912846835","https://openalex.org/W2950898568","https://openalex.org/W2962883855","https://openalex.org/W2963020213","https://openalex.org/W2963491014","https://openalex.org/W2963653811","https://openalex.org/W2963661253","https://openalex.org/W2963662654","https://openalex.org/W2963789888","https://openalex.org/W2963797754","https://openalex.org/W2963831170","https://openalex.org/W2963888305","https://openalex.org/W2963964898","https://openalex.org/W2963984224","https://openalex.org/W2964006684","https://openalex.org/W2964015378","https://openalex.org/W2964121744","https://openalex.org/W2964210218","https://openalex.org/W2964308564","https://openalex.org/W4299379707","https://openalex.org/W4301045096","https://openalex.org/W4365799947"],"related_works":["https://openalex.org/W3133700904","https://openalex.org/W4225275170","https://openalex.org/W2327631927","https://openalex.org/W2093568763","https://openalex.org/W69297589","https://openalex.org/W1985166372","https://openalex.org/W2003096546","https://openalex.org/W4289354592","https://openalex.org/W2430210575","https://openalex.org/W2165069859"],"abstract_inverted_index":{"Domain-specific":[0],"goal-oriented":[1,102],"dialogue":[2],"systems":[3],"typically":[4,54],"require":[5],"modeling":[6,45],"three":[7],"types":[8],"of":[9,22,29,76,136,177,194,224],"inputs,":[10,47],"namely,":[11],"(i)":[12,107,184],"the":[13,17,20,23,33,38,56,61,65,68,73,108,117,137,146,168,175,185],"knowledge-base":[14,114],"associated":[15,120],"with":[16,121,181],"domain,":[18],"(ii)":[19,116,189],"history":[21],"conversation,":[24],"which":[25,37],"is":[26,148],"a":[27,98,113,150,221],"sequence":[28],"utterances,":[30],"and":[31,64,93,115,130,205],"(iii)":[32,200],"current":[34,48],"utterance":[35,123],"for":[36,82,101,128],"response":[39],"needs":[40],"to":[41,124,173],"be":[42,157],"generated.":[43],"While":[44],"these":[46],"state-of-the-art":[49],"models":[50],"such":[51,86,143,163],"as":[52,87,144],"Mem2Seq":[53],"ignore":[55],"rich":[57],"structure":[58],"inherent":[59],"in":[60,67,112,140,149,162,197],"knowledge":[62],"graph":[63,111,119,172],"sentences":[66],"conversation":[69,147],"context.":[70],"Inspired":[71],"by":[72],"recent":[74],"success":[75],"structure-aware":[77],"Graph":[78],"Convolutional":[79],"Networks":[80],"(GCNs)":[81],"various":[83],"NLP":[84],"tasks":[85],"machine":[88],"translation,":[89],"semantic":[90],"role":[91],"labeling,":[92],"document":[94],"dating,":[95],"we":[96,133,165],"propose":[97],"memory-augmented":[99],"GCN":[100],"dialogues.":[103],"Our":[104],"model":[105],"exploits":[106],"entity":[109],"relation":[110],"dependency":[118,153],"an":[122],"compute":[125],"richer":[126],"representations":[127,176],"words":[129],"entities.":[131],"Further,":[132],"take":[134],"cognizance":[135],"fact":[138],"that":[139,161],"certain":[141],"situations,":[142],"when":[145],"code-mixed":[151,192],"language,":[152],"parsers":[154],"may":[155],"not":[156],"available.":[158],"We":[159,179],"show":[160],"situations":[164],"could":[166],"use":[167],"global":[169],"word":[170],"co-occurrence":[171],"enrich":[174],"utterances.":[178],"experiment":[180],"four":[182,198,213],"datasets:":[183],"modified":[186],"DSTC2":[187,195],"dataset,":[188,204],"recently":[190],"released":[191],"versions":[193],"dataset":[196],"languages,":[199],"Wizard-of-Oz":[201,207],"style":[202,208],"CAM676":[203],"(iv)":[206],"MultiWOZ":[209],"dataset.":[210],"On":[211],"all":[212],"datasets":[214],"our":[215],"method":[216],"outperforms":[217],"existing":[218],"methods,":[219],"on":[220],"wide":[222],"range":[223],"evaluation":[225],"metrics.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
