{"id":"https://openalex.org/W2949413855","doi":"https://doi.org/10.18653/v1/p19-1080","title":"Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue","display_name":"Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2949413855","doi":"https://doi.org/10.18653/v1/p19-1080","mag":"2949413855"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1080","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1080","pdf_url":"https://www.aclweb.org/anthology/P19-1080.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1080.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030141940","display_name":"Anusha Balakrishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Anusha Balakrishnan","raw_affiliation_strings":["Facebook Conversational AI"],"affiliations":[{"raw_affiliation_string":"Facebook Conversational AI","institution_ids":["https://openalex.org/I2252078561"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075728689","display_name":"Jinfeng Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Jinfeng Rao","raw_affiliation_strings":["Facebook Conversational AI"],"affiliations":[{"raw_affiliation_string":"Facebook Conversational AI","institution_ids":["https://openalex.org/I2252078561"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019445300","display_name":"Kartikeya Upasani","orcid":"https://orcid.org/0000-0001-8623-4243"},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Kartikeya Upasani","raw_affiliation_strings":["Facebook Conversational AI"],"affiliations":[{"raw_affiliation_string":"Facebook Conversational AI","institution_ids":["https://openalex.org/I2252078561"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025147385","display_name":"Michael White","orcid":"https://orcid.org/0000-0002-3062-1719"},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Michael White","raw_affiliation_strings":["Facebook Conversational AI"],"affiliations":[{"raw_affiliation_string":"Facebook Conversational AI","institution_ids":["https://openalex.org/I2252078561"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113753370","display_name":"Rajen Subba","orcid":null},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Rajen Subba","raw_affiliation_strings":["Facebook Conversational AI"],"affiliations":[{"raw_affiliation_string":"Facebook Conversational AI","institution_ids":["https://openalex.org/I2252078561"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5030141940"],"corresponding_institution_ids":["https://openalex.org/I2252078561"],"apc_list":null,"apc_paid":null,"fwci":8.5411,"has_fulltext":true,"cited_by_count":74,"citation_normalized_percentile":{"value":0.9808645,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"831","last_page":"844"},"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":0.9998999834060669,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8597639799118042},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.6974600553512573},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6742668747901917},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6358875036239624},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6114422082901001},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6104885935783386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.595491886138916},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5519728064537048},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5480684041976929},{"id":"https://openalex.org/keywords/structuring","display_name":"Structuring","score":0.514207124710083},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.45676469802856445},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4298518896102905},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.36873573064804077},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2481553554534912},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.18909034132957458},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08430656790733337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8597639799118042},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.6974600553512573},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6742668747901917},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6358875036239624},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6114422082901001},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6104885935783386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.595491886138916},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5519728064537048},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5480684041976929},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.514207124710083},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.45676469802856445},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4298518896102905},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.36873573064804077},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2481553554534912},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.18909034132957458},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08430656790733337},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1080","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1080","pdf_url":"https://www.aclweb.org/anthology/P19-1080.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1080","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1080","pdf_url":"https://www.aclweb.org/anthology/P19-1080.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949413855.pdf","grobid_xml":"https://content.openalex.org/works/W2949413855.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W40565524","https://openalex.org/W122915500","https://openalex.org/W1522301498","https://openalex.org/W1574901103","https://openalex.org/W1733954365","https://openalex.org/W1948566616","https://openalex.org/W1978078764","https://openalex.org/W2045738181","https://openalex.org/W2059857707","https://openalex.org/W2064296938","https://openalex.org/W2064675550","https://openalex.org/W2080656168","https://openalex.org/W2095705004","https://openalex.org/W2099542783","https://openalex.org/W2101105183","https://openalex.org/W2107298945","https://openalex.org/W2114544007","https://openalex.org/W2116716943","https://openalex.org/W2130942839","https://openalex.org/W2133341864","https://openalex.org/W2133564696","https://openalex.org/W2164259714","https://openalex.org/W2168814553","https://openalex.org/W2250539671","https://openalex.org/W2291723583","https://openalex.org/W2293959043","https://openalex.org/W2295512956","https://openalex.org/W2429300145","https://openalex.org/W2507756961","https://openalex.org/W2561658355","https://openalex.org/W2613904329","https://openalex.org/W2739046565","https://openalex.org/W2806532810","https://openalex.org/W2889009749","https://openalex.org/W2902141901","https://openalex.org/W2903428882","https://openalex.org/W2914397182","https://openalex.org/W2935206035","https://openalex.org/W2962729880","https://openalex.org/W2962801572","https://openalex.org/W2962905474","https://openalex.org/W2963084773","https://openalex.org/W2963352809","https://openalex.org/W2963592583","https://openalex.org/W2963672599","https://openalex.org/W2963910262","https://openalex.org/W2964116568","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W3124386704","https://openalex.org/W4254255610","https://openalex.org/W4288375073"],"related_works":["https://openalex.org/W1498726602","https://openalex.org/W2769434344","https://openalex.org/W382594479","https://openalex.org/W2152921782","https://openalex.org/W2470045054","https://openalex.org/W2575772232","https://openalex.org/W1998132222","https://openalex.org/W1650184876","https://openalex.org/W2140902089","https://openalex.org/W2030298461"],"abstract_inverted_index":{"Generating":[0],"fluent":[1],"natural":[2],"language":[3],"responses":[4,65],"from":[5],"structured":[6],"semantic":[7,38,81,125],"representations":[8,39],"is":[9],"a":[10,47,70,100,112],"critical":[11],"step":[12],"in":[13,69,86],"task-oriented":[14],"conversational":[15],"systems.":[16],"Avenues":[17],"like":[18,83],"the":[19,25,51,60,107,136],"E2E":[20,137],"NLG":[21,89],"Challenge":[22],"have":[23],"encouraged":[24],"development":[26],"of":[27],"neural":[28],"approaches,":[29],"particularly":[30],"sequence-tosequence":[31],"(Seq2Seq)":[32],"models":[33,118],"for":[34,54,91,106,116],"this":[35,74,104,121],"problem.":[36],"The":[37],"used,":[40],"however,":[41],"are":[42],"often":[43],"underspecified,":[44],"which":[45,63],"places":[46],"higher":[48],"burden":[49],"on":[50,132],"generation":[52],"model":[53],"sentence":[55],"planning,":[56],"and":[57,95,127,135],"also":[58],"limits":[59],"extent":[61],"to":[62,123],"generated":[64],"can":[66],"be":[67],"controlled":[68],"live":[71],"system.":[72],"In":[73],"paper,":[75],"we":[76],"(1)":[77],"propose":[78],"using":[79,103],"tree-structured":[80],"representations,":[82],"those":[84],"used":[85],"traditional":[87],"rule-based":[88],"systems,":[90],"better":[92],"discourse-level":[93],"structuring":[94],"sentence-level":[96],"planning;":[97],"(2)":[98],"introduce":[99,111],"challenging":[101],"dataset":[102,134],"representation":[105,122],"weather":[108],"domain;":[109],"(3)":[110],"constrained":[113],"decoding":[114],"approach":[115],"Seq2Seq":[117],"that":[119],"leverages":[120],"improve":[124],"correctness;":[126],"(4)":[128],"demonstrate":[129],"promising":[130],"results":[131],"our":[133],"dataset.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":26},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}