{"id":"https://openalex.org/W4205101888","doi":"https://doi.org/10.1109/ialp54817.2021.9675173","title":"Latent Attribute Control for Story Generation","display_name":"Latent Attribute Control for Story Generation","publication_year":2021,"publication_date":"2021-12-11","ids":{"openalex":"https://openalex.org/W4205101888","doi":"https://doi.org/10.1109/ialp54817.2021.9675173"},"language":"en","primary_location":{"id":"doi:10.1109/ialp54817.2021.9675173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp54817.2021.9675173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Asian Language Processing (IALP)","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/A5101038591","display_name":"Yu-Siou Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Siou Tang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103251327","display_name":"Chung\u2010Hsien Wu","orcid":"https://orcid.org/0000-0002-3947-2123"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Hsien Wu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19905558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"148","last_page":"153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9972000122070312,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9898999929428101,"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":0.7989543676376343},{"id":"https://openalex.org/keywords/cohesion","display_name":"Cohesion (chemistry)","score":0.6429957151412964},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6294994950294495},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.6273012757301331},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6027539372444153},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.5989909172058105},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5401879549026489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47328609228134155},{"id":"https://openalex.org/keywords/storytelling","display_name":"Storytelling","score":0.4725722372531891},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41446414589881897},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2828335762023926},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.15449365973472595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7989543676376343},{"id":"https://openalex.org/C104054115","wikidata":"https://www.wikidata.org/wiki/Q216828","display_name":"Cohesion (chemistry)","level":2,"score":0.6429957151412964},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6294994950294495},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6273012757301331},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6027539372444153},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.5989909172058105},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5401879549026489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47328609228134155},{"id":"https://openalex.org/C2776538412","wikidata":"https://www.wikidata.org/wiki/Q989963","display_name":"Storytelling","level":3,"score":0.4725722372531891},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41446414589881897},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2828335762023926},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.15449365973472595},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp54817.2021.9675173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp54817.2021.9675173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8899999856948853,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G892577894","display_name":null,"funder_award_id":"108-2221-E-006-103-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1909320841","https://openalex.org/W1959608418","https://openalex.org/W2131744502","https://openalex.org/W2133286915","https://openalex.org/W2150824314","https://openalex.org/W2154652894","https://openalex.org/W2250539671","https://openalex.org/W2621430944","https://openalex.org/W2805486818","https://openalex.org/W2896457183","https://openalex.org/W2914855263","https://openalex.org/W2951216772","https://openalex.org/W2952468927","https://openalex.org/W2952729433","https://openalex.org/W2962717182","https://openalex.org/W2962739339","https://openalex.org/W2963096510","https://openalex.org/W2963206148","https://openalex.org/W2963209464","https://openalex.org/W2963592583","https://openalex.org/W2963993699","https://openalex.org/W2965373594","https://openalex.org/W3014521650","https://openalex.org/W3034999214","https://openalex.org/W3039736817","https://openalex.org/W3102401511","https://openalex.org/W3119469378","https://openalex.org/W4288624561","https://openalex.org/W4289489477","https://openalex.org/W4294170691","https://openalex.org/W4298149550","https://openalex.org/W6629028937","https://openalex.org/W6639732818","https://openalex.org/W6640842352","https://openalex.org/W6640963894","https://openalex.org/W6679775712","https://openalex.org/W6682631176","https://openalex.org/W6682691769","https://openalex.org/W6685158001","https://openalex.org/W6704091791","https://openalex.org/W6738812136","https://openalex.org/W6755207826","https://openalex.org/W6758737392","https://openalex.org/W6762521896","https://openalex.org/W6763509872","https://openalex.org/W6766673545","https://openalex.org/W6769311223","https://openalex.org/W6788231789"],"related_works":["https://openalex.org/W2884441370","https://openalex.org/W1536421369","https://openalex.org/W2086118318","https://openalex.org/W2082193010","https://openalex.org/W4319988281","https://openalex.org/W2993120730","https://openalex.org/W1765898938","https://openalex.org/W2970945984","https://openalex.org/W2552287407","https://openalex.org/W2355818213"],"abstract_inverted_index":{"Neural":[0],"open-domain":[1],"story":[2,62,79],"generation":[3],"aims":[4],"to":[5,17,59,104,122],"generate":[6,18],"long":[7],"and":[8,27,44,72,84,116,125],"fluent":[9],"text":[10],"as":[11,24],"human":[12,108],"writing.":[13],"Recent":[14],"work":[15],"attempts":[16],"stories":[19],"in":[20],"fine-grained":[21],"controls":[22],"such":[23],"plot-like":[25],"structure":[26],"ending":[28],"valence.":[29],"Although":[30],"those":[31],"outputs":[32],"comply":[33],"with":[34,78],"the":[35,69,75,90,117,123,129],"rules":[36],"of":[37,47,51],"grammar,":[38],"they":[39],"generally":[40],"have":[41],"logical":[42],"conflicts":[43],"a":[45],"lack":[46],"long-range":[48],"cohesion":[49],"because":[50],"explicit":[52],"controlling.":[53],"In":[54],"this":[55],"study,":[56],"we":[57,73],"propose":[58],"capture":[60],"challenging":[61],"representation":[63],"using":[64],"latent":[65,80],"variable":[66],"modeling":[67],"for":[68],"storytelling":[70],"model,":[71],"align":[74],"encoder":[76],"output":[77],"embeddings.":[81],"Our":[82],"approach":[83],"baselines":[85,106],"are":[86],"all":[87],"built":[88],"on":[89,107],"pre-trained":[91],"BART":[92],"language":[93],"model.":[94],"Experimental":[95],"results":[96,118],"demonstrated":[97],"that":[98],"our":[99,113],"model":[100],"largely":[101],"improved":[102],"compared":[103],"strong":[105],"evaluation.":[109],"Human":[110],"evaluators":[111],"favored":[112],"generated":[114],"stories,":[115],"were":[119],"more":[120,126],"relevant":[121],"prompt":[124],"coherent":[127],"than":[128],"baselines.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}