{"id":"https://openalex.org/W3135797089","doi":"https://doi.org/10.1145/3439816","title":"Conditional Text Generation for Harmonious Human-Machine Interaction","display_name":"Conditional Text Generation for Harmonious Human-Machine Interaction","publication_year":2021,"publication_date":"2021-02-26","ids":{"openalex":"https://openalex.org/W3135797089","doi":"https://doi.org/10.1145/3439816","mag":"3135797089"},"language":"en","primary_location":{"id":"doi:10.1145/3439816","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3439816","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-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":null,"display_name":"Bin Guo","orcid":"https://orcid.org/0000-0001-7631-3386"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Guo","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, P.R. China"],"raw_orcid":"https://orcid.org/0000-0001-7631-3386","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101854659","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-6959-7237"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071167925","display_name":"Yasan Ding","orcid":"https://orcid.org/0000-0001-9051-5865"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yasan Ding","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101796417","display_name":"Wei Wu","orcid":"https://orcid.org/0000-0001-6572-8471"},"institutions":[{"id":"https://openalex.org/I4210105678","display_name":"Microsoft (Finland)","ror":"https://ror.org/01nehjf29","country_code":"FI","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210105678"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Wei Wu","raw_affiliation_strings":["Microsoft Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation","institution_ids":["https://openalex.org/I4210105678"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053873404","display_name":"Shaoyang Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyang Hao","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101060811","display_name":"Yueqi Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueqi Sun","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100701166","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-9905-3238"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Yu","raw_affiliation_strings":["Northwestern Polytechnical University, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, P.R. China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8662,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.91943107,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"12","issue":"2","first_page":"1","last_page":"50"},"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":0.998199999332428,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9980000257492065,"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":0.83424973487854},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.6755988597869873},{"id":"https://openalex.org/keywords/reservation","display_name":"Reservation","score":0.6339141130447388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.592488169670105},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5145092010498047},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5025403499603271},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3901163935661316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32982394099235535}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83424973487854},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.6755988597869873},{"id":"https://openalex.org/C2777632111","wikidata":"https://www.wikidata.org/wiki/Q1937518","display_name":"Reservation","level":2,"score":0.6339141130447388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.592488169670105},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5145092010498047},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5025403499603271},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3901163935661316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32982394099235535},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3439816","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3439816","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G1286089086","display_name":null,"funder_award_id":"61772428 and 61725205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8547503138","display_name":null,"funder_award_id":"62025205","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":114,"referenced_works":["https://openalex.org/W1518951372","https://openalex.org/W1895577753","https://openalex.org/W1933349210","https://openalex.org/W1956340063","https://openalex.org/W2048207804","https://openalex.org/W2058373514","https://openalex.org/W2078861931","https://openalex.org/W2110485445","https://openalex.org/W2140054881","https://openalex.org/W2142112143","https://openalex.org/W2142192571","https://openalex.org/W2157331557","https://openalex.org/W2159243025","https://openalex.org/W2524182563","https://openalex.org/W2557436004","https://openalex.org/W2557508245","https://openalex.org/W2575842049","https://openalex.org/W2578354947","https://openalex.org/W2600463316","https://openalex.org/W2740309605","https://openalex.org/W2741363662","https://openalex.org/W2741986794","https://openalex.org/W2743149734","https://openalex.org/W2762009853","https://openalex.org/W2786913767","https://openalex.org/W2793724251","https://openalex.org/W2798277467","https://openalex.org/W2799051177","https://openalex.org/W2799225444","https://openalex.org/W2804361680","https://openalex.org/W2807873315","https://openalex.org/W2807925339","https://openalex.org/W2807941860","https://openalex.org/W2808437126","https://openalex.org/W2886796016","https://openalex.org/W2889002152","https://openalex.org/W2889969789","https://openalex.org/W2890276793","https://openalex.org/W2890394457","https://openalex.org/W2892181857","https://openalex.org/W2900227126","https://openalex.org/W2904002921","https://openalex.org/W2907833097","https://openalex.org/W2911173908","https://openalex.org/W2911994530","https://openalex.org/W2912878122","https://openalex.org/W2914778139","https://openalex.org/W2922442527","https://openalex.org/W2928773704","https://openalex.org/W2936412271","https://openalex.org/W2939522634","https://openalex.org/W2941466155","https://openalex.org/W2944931850","https://openalex.org/W2949555952","https://openalex.org/W2949980515","https://openalex.org/W2950457956","https://openalex.org/W2951508633","https://openalex.org/W2951561177","https://openalex.org/W2951583236","https://openalex.org/W2962739339","https://openalex.org/W2962749469","https://openalex.org/W2962806234","https://openalex.org/W2962821399","https://openalex.org/W2962854379","https://openalex.org/W2962968835","https://openalex.org/W2963096510","https://openalex.org/W2963223306","https://openalex.org/W2963283805","https://openalex.org/W2963743213","https://openalex.org/W2963825865","https://openalex.org/W2963929190","https://openalex.org/W2963963856","https://openalex.org/W2964032708","https://openalex.org/W2964352131","https://openalex.org/W2965373594","https://openalex.org/W2965780468","https://openalex.org/W2966404868","https://openalex.org/W2969761102","https://openalex.org/W2970102799","https://openalex.org/W2970431814","https://openalex.org/W2970574558","https://openalex.org/W2970680405","https://openalex.org/W2971226229","https://openalex.org/W2973049837","https://openalex.org/W2988793532","https://openalex.org/W2988937804","https://openalex.org/W2992347006","https://openalex.org/W2999995068","https://openalex.org/W3014694903","https://openalex.org/W3021914396","https://openalex.org/W3033434706","https://openalex.org/W3034720580","https://openalex.org/W3035317912","https://openalex.org/W3035356453","https://openalex.org/W3046111474","https://openalex.org/W3082549344","https://openalex.org/W3098708719","https://openalex.org/W3100719877","https://openalex.org/W3101683892","https://openalex.org/W3104777900","https://openalex.org/W3105157853","https://openalex.org/W3105906861","https://openalex.org/W3106439889","https://openalex.org/W3107207206","https://openalex.org/W3118510494","https://openalex.org/W3121541553","https://openalex.org/W4205671217","https://openalex.org/W4212774754","https://openalex.org/W4234552385","https://openalex.org/W4237040408","https://openalex.org/W4239019441","https://openalex.org/W4249013746","https://openalex.org/W4288088047","https://openalex.org/W4290742115"],"related_works":["https://openalex.org/W2379215383","https://openalex.org/W2271928667","https://openalex.org/W1994860013","https://openalex.org/W3210156514","https://openalex.org/W2387553833","https://openalex.org/W2131387076","https://openalex.org/W2381833100","https://openalex.org/W907625775","https://openalex.org/W4312072103","https://openalex.org/W4380075502"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"with":[3],"the":[4,52,101,115,120,128,153],"development":[5],"of":[6,19,100,105,122,131,138,160],"deep":[7],"learning,":[8],"text-generation":[9,48],"technology":[10],"has":[11,70,86],"undergone":[12],"great":[13],"changes":[14],"and":[15,28,38,63,113,142,156],"provided":[16],"many":[17],"kinds":[18],"services":[20],"for":[21,148],"human":[22],"beings,":[23],"such":[24],"as":[25],"restaurant":[26],"reservation":[27],"daily":[29],"communication.":[30],"The":[31],"automatically":[32],"generated":[33],"text":[34,54,58,61,124],"is":[35],"becoming":[36],"more":[37,39,46],"fluent":[40],"so":[41,64],"researchers":[42],"begin":[43],"to":[44,89,95],"consider":[45],"anthropomorphic":[47],"technology,":[49],"that":[50,83],"is,":[51],"conditional":[53],"generation,":[55,59,62,125],"including":[56],"emotional":[57],"personalized":[60],"on.":[65],"Conditional":[66],"Text":[67],"Generation":[68],"(CTG)":[69],"thus":[71],"become":[72],"a":[73,77,97],"research":[74,79,103,158],"hotspot.":[75],"As":[76],"promising":[78,157],"field,":[80],"we":[81,93,151],"find":[82],"much":[84],"attention":[85],"been":[87],"paid":[88],"exploring":[90],"it.":[91],"Therefore,":[92],"aim":[94],"give":[96],"comprehensive":[98],"review":[99],"new":[102],"trends":[104],"CTG.":[106,132,149,161],"We":[107,133],"first":[108],"summarize":[109],"several":[110,144],"key":[111],"techniques":[112],"illustrate":[114],"technical":[116],"evolution":[117],"route":[118],"in":[119],"field":[121],"neural":[123],"based":[126],"on":[127],"concept":[129],"model":[130],"further":[134],"make":[135],"an":[136],"investigation":[137],"existing":[139],"CTG":[140],"fields":[141],"propose":[143],"general":[145],"learning":[146],"models":[147],"Finally,":[150],"discuss":[152],"open":[154],"issues":[155],"directions":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}