{"id":"https://openalex.org/W2965962253","doi":"https://doi.org/10.24963/ijcai.2019/829","title":"Controllable Neural Story Plot Generation via Reward Shaping","display_name":"Controllable Neural Story Plot Generation via Reward Shaping","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2965962253","doi":"https://doi.org/10.24963/ijcai.2019/829","mag":"2965962253"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/829","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/829","pdf_url":"https://www.ijcai.org/proceedings/2019/0829.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0829.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051331381","display_name":"Pradyumna Tambwekar","orcid":"https://orcid.org/0000-0003-2931-2502"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pradyumna Tambwekar","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081460348","display_name":"Murtaza Dhuliawala","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murtaza Dhuliawala","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090037466","display_name":"Lara J. Martin","orcid":"https://orcid.org/0000-0002-0623-599X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lara J. Martin","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051377603","display_name":"Animesh Mehta","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Animesh Mehta","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047163199","display_name":"Brent Harrison","orcid":"https://orcid.org/0000-0002-1301-5928"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brent Harrison","raw_affiliation_strings":["Department of Computer Science, University of Kentucky"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Kentucky","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061883150","display_name":"Mark Riedl","orcid":"https://orcid.org/0000-0001-5283-6588"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark O. Riedl","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5051331381"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":8.59,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.98080642,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5982","last_page":"5988"},"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/T11574","display_name":"Artificial Intelligence in Games","score":0.996999979019165,"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":0.9966999888420105,"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/plot","display_name":"Plot (graphics)","score":0.824809193611145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7924997210502625},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6037912964820862},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5829249024391174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.570511519908905},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5595579743385315},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5526724457740784},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5247944593429565},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4876009523868561},{"id":"https://openalex.org/keywords/perplexity","display_name":"Perplexity","score":0.4362141489982605},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.42809751629829407},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.42148810625076294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36977657675743103},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14937534928321838},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08243119716644287},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06953004002571106}],"concepts":[{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.824809193611145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7924997210502625},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6037912964820862},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5829249024391174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.570511519908905},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5595579743385315},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5526724457740784},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5247944593429565},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4876009523868561},{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.4362141489982605},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.42809751629829407},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.42148810625076294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36977657675743103},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14937534928321838},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08243119716644287},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06953004002571106},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2019/829","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/829","pdf_url":"https://www.ijcai.org/proceedings/2019/0829.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1809.10736","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.10736","pdf_url":"https://arxiv.org/pdf/1809.10736","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/829","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/829","pdf_url":"https://www.ijcai.org/proceedings/2019/0829.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2965962253.pdf","grobid_xml":"https://content.openalex.org/works/W2965962253.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W25648700","https://openalex.org/W1498806819","https://openalex.org/W1579035156","https://openalex.org/W1622242599","https://openalex.org/W1777239053","https://openalex.org/W2070328828","https://openalex.org/W2081580037","https://openalex.org/W2090487795","https://openalex.org/W2103708864","https://openalex.org/W2119717200","https://openalex.org/W2121863487","https://openalex.org/W2128116572","https://openalex.org/W2130942839","https://openalex.org/W2156264173","https://openalex.org/W2160467647","https://openalex.org/W2170516265","https://openalex.org/W2236262502","https://openalex.org/W2396534511","https://openalex.org/W2517226069","https://openalex.org/W2613904329","https://openalex.org/W2621430944","https://openalex.org/W2962895717","https://openalex.org/W2963096510","https://openalex.org/W2963167310","https://openalex.org/W2963951265","https://openalex.org/W2963993699","https://openalex.org/W4214717370","https://openalex.org/W4230563027","https://openalex.org/W4386506836"],"related_works":["https://openalex.org/W2169518243","https://openalex.org/W2252095989","https://openalex.org/W4322096525","https://openalex.org/W2551914602","https://openalex.org/W4281893144","https://openalex.org/W4287323699","https://openalex.org/W2105076537","https://openalex.org/W2084531783","https://openalex.org/W2902731467","https://openalex.org/W2787311093"],"abstract_inverted_index":{"Language-modeling--based":[0],"approaches":[1],"to":[2,7,18,26,28,36,42,84],"story":[3,69,103],"plot":[4,10,125],"generation":[5,126],"attempt":[6],"construct":[8],"a":[9,14,44,53,63,68,79,89,99,108],"by":[11],"sampling":[12],"from":[13,39],"language":[15],"model":[16,87,100],"(LM)":[17],"predict":[19],"the":[20,29,34,40,86,115],"next":[21],"character,":[22],"word,":[23],"or":[24],"sentence":[25],"add":[27],"story.":[30],"LM":[31,81],"techniques":[32],"lack":[33,59],"ability":[35],"receive":[37],"guidance":[38],"user":[41],"achieve":[43,107],"specific":[45],"goal,":[46],"resulting":[47],"in":[48,82],"stories":[49,117],"that":[50,66,75,101,114],"don't":[51],"have":[52,118],"clear":[54],"sense":[55],"of":[56],"progression":[57],"and":[58,71],"coherence.":[60],"We":[61],"present":[62],"reward-shaping":[64],"technique":[65,96],"analyzes":[67],"corpus":[70],"produces":[72],"intermediate":[73],"rewards":[74],"are":[76],"backpropagated":[77],"into":[78],"pre-trained":[80],"order":[83],"guide":[85],"toward":[88],"given":[90],"goal.":[91,110],"Automated":[92],"evaluations":[93],"show":[94,113],"our":[95],"can":[97],"create":[98],"generates":[102],"plots":[104],"which":[105],"consistently":[106],"specified":[109],"Human-subject":[111],"studies":[112],"generated":[116],"more":[119],"plausible":[120],"event":[121],"ordering":[122],"than":[123],"baseline":[124],"techniques.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":5}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}