{"id":"https://openalex.org/W4206315373","doi":"https://doi.org/10.1109/bigdata52589.2021.9671855","title":"Parallel Decoders Guided Lexically Constrained Response Generation","display_name":"Parallel Decoders Guided Lexically Constrained Response Generation","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4206315373","doi":"https://doi.org/10.1109/bigdata52589.2021.9671855"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671855","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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/A5049999785","display_name":"Daixuan Cheng","orcid":"https://orcid.org/0000-0003-0405-9707"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Daixuan Cheng","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008194128","display_name":"Haifeng Sun","orcid":"https://orcid.org/0000-0003-3072-7422"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Sun","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406584","display_name":"Qi Qi","orcid":"https://orcid.org/0000-0003-0829-4624"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Qi","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432460","display_name":"Jingyu Wang","orcid":"https://orcid.org/0000-0002-2182-2228"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Wang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112549286","display_name":"Qi Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097143","display_name":"Tianjin Research Institute of Electric Science (China)","ror":"https://ror.org/010ryc044","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210097143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Qi","raw_affiliation_strings":["State Grid Tianjin Electric Power Company, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"State Grid Tianjin Electric Power Company, Tianjin, China","institution_ids":["https://openalex.org/I4210097143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5049999785"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.1257,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39839222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1380","last_page":"1388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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":0.9987000226974487,"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":0.9980999827384949,"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":0.8112493753433228},{"id":"https://openalex.org/keywords/fluency","display_name":"Fluency","score":0.5890793800354004},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5415186882019043},{"id":"https://openalex.org/keywords/controllability","display_name":"Controllability","score":0.5275192856788635},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5170403122901917},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.46471914649009705},{"id":"https://openalex.org/keywords/response-time","display_name":"Response time","score":0.4405936002731323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42827892303466797},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23748734593391418},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10556694865226746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8112493753433228},{"id":"https://openalex.org/C2777413886","wikidata":"https://www.wikidata.org/wiki/Q3276013","display_name":"Fluency","level":2,"score":0.5890793800354004},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5415186882019043},{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.5275192856788635},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5170403122901917},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.46471914649009705},{"id":"https://openalex.org/C19012869","wikidata":"https://www.wikidata.org/wiki/Q578372","display_name":"Response time","level":2,"score":0.4405936002731323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42827892303466797},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23748734593391418},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10556694865226746},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671855","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7900000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326707","display_name":"State Grid Corporation of China","ror":"https://ror.org/05twwhs70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1498238796","https://openalex.org/W1973871257","https://openalex.org/W2119595472","https://openalex.org/W2143017621","https://openalex.org/W2521114121","https://openalex.org/W2740072473","https://openalex.org/W2761590056","https://openalex.org/W2799037524","https://openalex.org/W2945735543","https://openalex.org/W2945978556","https://openalex.org/W2952682849","https://openalex.org/W2963188990","https://openalex.org/W2963352809","https://openalex.org/W2963456134","https://openalex.org/W2963736842","https://openalex.org/W2964029788","https://openalex.org/W2966746916","https://openalex.org/W2970785611","https://openalex.org/W2984441266","https://openalex.org/W3034242983","https://openalex.org/W3034395406","https://openalex.org/W3034614576","https://openalex.org/W3034720580","https://openalex.org/W3034758256","https://openalex.org/W3034999754","https://openalex.org/W3035030897","https://openalex.org/W3035393249","https://openalex.org/W3035451444","https://openalex.org/W3035540807","https://openalex.org/W3087232873","https://openalex.org/W3098641803","https://openalex.org/W3099143320","https://openalex.org/W3099872554","https://openalex.org/W3101427524","https://openalex.org/W3102823002","https://openalex.org/W3103621832","https://openalex.org/W3103857453","https://openalex.org/W3103955569","https://openalex.org/W3104777900","https://openalex.org/W3105008414","https://openalex.org/W3105526874","https://openalex.org/W3105906861","https://openalex.org/W3106007100","https://openalex.org/W4287547264","https://openalex.org/W6727329663","https://openalex.org/W6745297980","https://openalex.org/W6779240888","https://openalex.org/W6789745502"],"related_works":["https://openalex.org/W2036697162","https://openalex.org/W2332386680","https://openalex.org/W2561315646","https://openalex.org/W2248621902","https://openalex.org/W2003779889","https://openalex.org/W4205698120","https://openalex.org/W4239246781","https://openalex.org/W2164760767","https://openalex.org/W2542825942","https://openalex.org/W3201620972"],"abstract_inverted_index":{"Response":[0],"generation":[1,159],"is":[2,14,53,75],"a":[3,15,55],"fundamental":[4],"function":[5],"in":[6,44,138,161],"conversational":[7],"systems,":[8],"where":[9],"controllability":[10],"of":[11,50,60,72,163],"the":[12,26,58,77,81,86,94,109,118,121,124,131,136,139,145,150,157],"response":[13,27,34,78,100,140,168],"key":[16],"problem.":[17],"In":[18],"this":[19,90],"paper,":[20],"we":[21,92,133],"consider":[22],"how":[23],"to":[24,98,108,144],"control":[25],"by":[28,66,79],"lexical":[29,46,82],"constraints,":[30],"namely":[31],"lexically":[32],"constrained":[33],"generation.":[35],"The":[36,48,70,102,114],"stochastic":[37],"search-based":[38],"methods":[39,52],"have":[40],"achieved":[41],"promising":[42],"performance":[43,155],"satisfying":[45],"constraints.":[47,113],"idea":[49],"these":[51],"modifying":[54,76],"sentence":[56,166],"through":[57],"actions":[59],"insertion,":[61],"deletion":[62],"and":[63,84,112,123,170],"replacement":[64],"guided":[65],"an":[67],"optimization":[68],"algorithm.":[69],"core":[71],"our":[73],"method":[74],"incorporating":[80],"constraints":[83],"preserving":[85],"message-related":[87],"parts.":[88],"For":[89],"purpose,":[91],"propose":[93],"novel":[95],"Parallel":[96,128],"Decoders":[97],"guide":[99],"modification.":[101],"first":[103],"decoder":[104,116],"generates":[105],"responses":[106],"according":[107,143],"given":[110],"message":[111],"second":[115],"calculates":[117],"relevance":[119,146],"between":[120],"input":[122],"response.":[125],"Based":[126],"on":[127],"Decoders,":[129],"during":[130],"modification,":[132],"could":[134],"sample":[135],"positions":[137],"for":[141],"editing":[142],"score.":[147],"Experiments":[148],"show":[149],"proposed":[151],"framework":[152],"achieves":[153],"better":[154],"than":[156],"state-of-the-art":[158],"models":[160],"terms":[162],"constraint":[164],"relevance,":[165],"fluency,":[167],"diversity":[169],"human":[171],"evaluation.":[172]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
