{"id":"https://openalex.org/W2989202909","doi":"https://doi.org/10.18653/v1/d19-5605","title":"Generating Diverse Story Continuations with Controllable Semantics","display_name":"Generating Diverse Story Continuations with Controllable Semantics","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2989202909","doi":"https://doi.org/10.18653/v1/d19-5605","mag":"2989202909"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-5605","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5605","pdf_url":"https://www.aclweb.org/anthology/D19-5605.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 3rd Workshop on Neural Generation and Translation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-5605.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020349176","display_name":"Lifu Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I160992636","display_name":"Toyota Technological Institute at Chicago","ror":"https://ror.org/02sn5gb64","country_code":"US","type":"education","lineage":["https://openalex.org/I160992636"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lifu Tu","raw_affiliation_strings":["Toyota Technological Institute at Chicago, Chicago, IL, 60637, USA"],"affiliations":[{"raw_affiliation_string":"Toyota Technological Institute at Chicago, Chicago, IL, 60637, USA","institution_ids":["https://openalex.org/I160992636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077889889","display_name":"Xiaoan Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoan Ding","raw_affiliation_strings":["University of Chicago, Chicago, IL, 60637, USA"],"affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, 60637, USA","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034476404","display_name":"Dong Yu","orcid":"https://orcid.org/0000-0003-0520-6844"},"institutions":[{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Yu","raw_affiliation_strings":["Tencent AI Lab, Bellevue, WA, 98004, USA"],"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Bellevue, WA, 98004, USA","institution_ids":["https://openalex.org/I4210108985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081022650","display_name":"Kevin Gimpel","orcid":null},"institutions":[{"id":"https://openalex.org/I160992636","display_name":"Toyota Technological Institute at Chicago","ror":"https://ror.org/02sn5gb64","country_code":"US","type":"education","lineage":["https://openalex.org/I160992636"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Gimpel","raw_affiliation_strings":["Toyota Technological Institute at Chicago, Chicago, IL, 60637, USA"],"affiliations":[{"raw_affiliation_string":"Toyota Technological Institute at Chicago, Chicago, IL, 60637, USA","institution_ids":["https://openalex.org/I160992636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020349176"],"corresponding_institution_ids":["https://openalex.org/I160992636"],"apc_list":null,"apc_paid":null,"fwci":1.8202,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89266192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"44","last_page":"58"},"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":0.9995999932289124,"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/T10260","display_name":"Software Engineering Research","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.787319540977478},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.67788165807724},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6569471955299377},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6562764644622803},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.5654873847961426},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5578347444534302},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5484502911567688},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5130528211593628},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.48964911699295044},{"id":"https://openalex.org/keywords/beam-search","display_name":"Beam search","score":0.429823637008667},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.42380452156066895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4213923215866089},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3705923557281494},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2115854024887085},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.20371541380882263},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.1946914792060852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.787319540977478},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.67788165807724},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6569471955299377},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6562764644622803},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.5654873847961426},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5578347444534302},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5484502911567688},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5130528211593628},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.48964911699295044},{"id":"https://openalex.org/C19889080","wikidata":"https://www.wikidata.org/wiki/Q2835852","display_name":"Beam search","level":3,"score":0.429823637008667},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42380452156066895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4213923215866089},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3705923557281494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2115854024887085},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.20371541380882263},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.1946914792060852},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-5605","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5605","pdf_url":"https://www.aclweb.org/anthology/D19-5605.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 3rd Workshop on Neural Generation and Translation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-5605","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5605","pdf_url":"https://www.aclweb.org/anthology/D19-5605.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 3rd Workshop on Neural Generation and Translation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8700000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2989202909.pdf","grobid_xml":"https://content.openalex.org/works/W2989202909.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W116684179","https://openalex.org/W125693536","https://openalex.org/W142618915","https://openalex.org/W810278864","https://openalex.org/W1498806819","https://openalex.org/W1522301498","https://openalex.org/W1557915119","https://openalex.org/W1603195809","https://openalex.org/W1875856335","https://openalex.org/W1902237438","https://openalex.org/W2000900121","https://openalex.org/W2036937632","https://openalex.org/W2064675550","https://openalex.org/W2099136972","https://openalex.org/W2101105183","https://openalex.org/W2115792525","https://openalex.org/W2116512345","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2154652894","https://openalex.org/W2170516265","https://openalex.org/W2222235228","https://openalex.org/W2236262502","https://openalex.org/W2250539671","https://openalex.org/W2251939518","https://openalex.org/W2252065493","https://openalex.org/W2324296656","https://openalex.org/W2335559472","https://openalex.org/W2466175319","https://openalex.org/W2511742901","https://openalex.org/W2530647954","https://openalex.org/W2617566453","https://openalex.org/W2621430944","https://openalex.org/W2758815496","https://openalex.org/W2785896739","https://openalex.org/W2790165607","https://openalex.org/W2803267010","https://openalex.org/W2807550616","https://openalex.org/W2914855263","https://openalex.org/W2949555952","https://openalex.org/W2952988558","https://openalex.org/W2962788902","https://openalex.org/W2962805889","https://openalex.org/W2962895717","https://openalex.org/W2962912551","https://openalex.org/W2962932447","https://openalex.org/W2963096510","https://openalex.org/W2963104691","https://openalex.org/W2963206148","https://openalex.org/W2963332597","https://openalex.org/W2963366196","https://openalex.org/W2963456134","https://openalex.org/W2963691697","https://openalex.org/W2963993699","https://openalex.org/W2964121744","https://openalex.org/W2964222296","https://openalex.org/W2964308564","https://openalex.org/W2973007848","https://openalex.org/W4213168938","https://openalex.org/W4255555250"],"related_works":["https://openalex.org/W4386269615","https://openalex.org/W2375873920","https://openalex.org/W2146114872","https://openalex.org/W2392060890","https://openalex.org/W4390091683","https://openalex.org/W2100233978","https://openalex.org/W2204575588","https://openalex.org/W4312050889","https://openalex.org/W4226375873","https://openalex.org/W2947764539"],"abstract_inverted_index":{"We":[0,15,108],"propose":[1],"a":[2,26,92,111,136],"simple":[3],"and":[4,44,97],"effective":[5],"modeling":[6],"framework":[7,53],"for":[8,122,128],"controlled":[9],"generation":[10,80,86,134],"of":[11,20,25,58,95,118,131],"multiple,":[12],"diverse":[13,133],"outputs.":[14],"focus":[16],"on":[17],"the":[18,22,63,116,129],"setting":[19],"generating":[21,59],"next":[23],"sentence":[24,37],"story":[27],"given":[28],"its":[29],"context.":[30],"As":[31],"controllable":[32],"dimensions,":[33],"we":[34],"consider":[35],"several":[36],"attributes,":[38],"including":[39],"sentiment,":[40],"length,":[41],"predicates,":[42],"frames,":[43],"automatically-induced":[45],"clusters.":[46],"Our":[47],"empirical":[48],"results":[49,127],"demonstrate:":[50],"(1)":[51],"our":[52,68],"is":[54],"accurate":[55],"in":[56,135],"terms":[57],"outputs":[60],"that":[61],"match":[62],"target":[64],"control":[65,101],"values;":[66],"(2)":[67],"model":[69],"yields":[70],"increased":[71],"maximum":[72],"metric":[73],"scores":[74],"compared":[75],"to":[76,91,114],"standard":[77],"n-best":[78],"list":[79],"via":[81],"beam":[82],"search;":[83],"(3)":[84],"controlling":[85],"with":[87],"semantic":[88],"frames":[89],"leads":[90],"stronger":[93],"combination":[94],"diversity":[96],"quality":[98],"than":[99],"other":[100],"variables":[102],"as":[103],"measured":[104],"by":[105],"automatic":[106],"metrics.":[107],"also":[109],"conduct":[110],"human":[112],"evaluation":[113],"assess":[115],"utility":[117],"providing":[119],"multiple":[120],"suggestions":[121],"creative":[123],"writing,":[124],"demonstrating":[125],"promising":[126],"potential":[130],"controllable,":[132],"collaborative":[137],"writing":[138],"system.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}