{"id":"https://openalex.org/W4321488406","doi":"https://doi.org/10.1145/3539597.3570364","title":"Friendly Conditional Text Generator","display_name":"Friendly Conditional Text Generator","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4321488406","doi":"https://doi.org/10.1145/3539597.3570364"},"language":"en","primary_location":{"id":"doi:10.1145/3539597.3570364","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539597.3570364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","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/A5070142351","display_name":"Noriaki Kawamae","orcid":"https://orcid.org/0000-0002-0746-9624"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Noriaki Kawamae","raw_affiliation_strings":["NTT Comware, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-0746-9624","affiliations":[{"raw_affiliation_string":"NTT Comware, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5070142351"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.3408,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62760403,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"420","last_page":"428"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9988999962806702,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7985532283782959},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7517802119255066},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.619546115398407},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.5884503722190857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5817793011665344},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.5012643337249756},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4799652099609375},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47556084394454956},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.46283650398254395},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4591476619243622},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.426057368516922},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0992840826511383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7985532283782959},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7517802119255066},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.619546115398407},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.5884503722190857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5817793011665344},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.5012643337249756},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4799652099609375},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47556084394454956},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46283650398254395},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4591476619243622},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.426057368516922},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0992840826511383},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539597.3570364","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539597.3570364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W2064675550","https://openalex.org/W2101105183","https://openalex.org/W2133512280","https://openalex.org/W2557449848","https://openalex.org/W2808437126","https://openalex.org/W2905305843","https://openalex.org/W2912678722","https://openalex.org/W2916772188","https://openalex.org/W2949553967","https://openalex.org/W2953039584","https://openalex.org/W2964669873","https://openalex.org/W2981852735","https://openalex.org/W3012607120","https://openalex.org/W3034714178","https://openalex.org/W3035475181","https://openalex.org/W3100152912","https://openalex.org/W3138368906","https://openalex.org/W4285230133","https://openalex.org/W4288089799","https://openalex.org/W6950191292"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W2905319430","https://openalex.org/W3116498279","https://openalex.org/W4287549553","https://openalex.org/W4310285384","https://openalex.org/W3183027292","https://openalex.org/W3132883577","https://openalex.org/W4385570684"],"abstract_inverted_index":{"Our":[0,55],"goal":[1],"is":[2,16,97],"to":[3,81,98,135,144],"control":[4],"text":[5,41,89,155],"generation":[6],"with":[7,18],"more":[8],"fine-grained":[9],"conditions":[10,22,180],"at":[11,181],"lower":[12,182],"computational":[13],"cost":[14],"than":[15],"possible":[17],"current":[19],"alternatives;":[20],"these":[21],"are":[23,131],"attributes":[24,102,116],"(i.e.,":[25],"multiple":[26],"codes":[27],"and":[28,47,68,76,90,101,107,115,133,158],"free-text).":[29],"As":[30],"large-scale":[31],"pre-trained":[32],"language":[33],"models":[34],"(PLMs)":[35],"offer":[36],"excellent":[37],"performance":[38],"in":[39,118,138,150,162],"free-form":[40],"generation,":[42],"we":[43],"explore":[44],"efficient":[45],"architectures":[46],"training":[48,70],"schemes":[49],"that":[50,173],"can":[51],"best":[52],"leverage":[53],"PLMs.":[54],"framework,":[56],"Friendly":[57],"Conditional":[58],"Text":[59],"Generator":[60],"(FCTG),":[61],"introduces":[62],"a":[63,104],"multi-view":[64],"attention":[65],"(MVA)":[66],"mechanism":[67],"two":[69],"tasks,":[71],"Masked":[72],"Attribute":[73,77],"Modeling":[74],"(MAM)":[75],"Linguistic":[78],"Matching":[79],"(ALM),":[80],"direct":[82,136],"various":[83],"PLMs":[84,137],"via":[85,165],"modalities":[86],"between":[87],"the":[88,113,151],"its":[91],"attributes.":[92],"The":[93],"motivation":[94],"of":[95,121],"FCTG":[96,141,174],"map":[99],"texts":[100,114],"into":[103],"shared":[105],"space,":[106,140],"bridge":[108],"their":[109,160],"modality":[110],"gaps,":[111],"as":[112,154],"reside":[117],"different":[119],"regions":[120],"semantic":[122],"space.":[123],"To":[124],"avoid":[125],"catastrophic":[126],"forgetting,":[127],"modality-free":[128],"embedded":[129],"representations":[130],"learnt,":[132],"used":[134],"this":[139,163],"applies":[142],"MAM":[143],"learn":[145],"attribute":[146],"representations,":[147],"maps":[148],"them":[149],"same":[152],"space":[153,164],"through":[156],"MVA,":[157],"optimizes":[159],"alignment":[161],"ALM.":[166],"Experiments":[167],"on":[168],"publicly":[169],"available":[170],"datasets":[171],"show":[172],"outperforms":[175],"baselines":[176],"over":[177],"higher":[178],"level":[179],"computation":[183],"cost.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}