{"id":"https://openalex.org/W3108364329","doi":"https://doi.org/10.1109/taslp.2020.3039606","title":"Learning to Generate Explainable Plots for Neural Story Generation","display_name":"Learning to Generate Explainable Plots for Neural Story Generation","publication_year":2020,"publication_date":"2020-11-20","ids":{"openalex":"https://openalex.org/W3108364329","doi":"https://doi.org/10.1109/taslp.2020.3039606","mag":"3108364329"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2020.3039606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2020.3039606","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","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":"https://openalex.org/A5064450270","display_name":"Gang Chen","orcid":"https://orcid.org/0000-0002-6671-2903"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Chen","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6671-2903","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086000078","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-3087-242X"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]},{"id":"https://openalex.org/I4210159340","display_name":"The Synergetic Innovation Center for Advanced Materials","ror":"https://ror.org/05nzc1r88","country_code":"CN","type":"facility","lineage":["https://openalex.org/I134687103","https://openalex.org/I41198531","https://openalex.org/I4210159340","https://openalex.org/I76130692","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Beijing Academy of Artificial Intelligence, Beijing","Beijing National Research Center for Information Science and Technology, Beijing, China","Department of Computer Science and Technology, Tsinghua University, Beijing, China","Institute for Artificial Intelligence, Tsinghua University, Beijing, China","Jiangsu Collaborative Innovation Center for Language Competence, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-3087-242X","affiliations":[{"raw_affiliation_string":"Beijing Academy of Artificial Intelligence, Beijing","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210156423"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Institute for Artificial Intelligence, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Jiangsu Collaborative Innovation Center for Language Competence, Jiangsu, China","institution_ids":["https://openalex.org/I4210159340"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091587552","display_name":"Huanbo Luan","orcid":"https://orcid.org/0000-0003-3938-119X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanbo Luan","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437809","display_name":"Meng Zhang","orcid":"https://orcid.org/0000-0003-2188-8195"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Zhang","raw_affiliation_strings":["Noah's Ark Lab Paris, Huawei Technologies Ltd, Hongkong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Noah's Ark Lab Paris, Huawei Technologies Ltd, Hongkong, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426170","display_name":"Qun Liu","orcid":"https://orcid.org/0000-0002-7000-1792"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Liu","raw_affiliation_strings":["Noah's Ark Lab Paris, Huawei Technologies Ltd, Hongkong, China"],"raw_orcid":"https://orcid.org/0000-0002-7000-1792","affiliations":[{"raw_affiliation_string":"Noah's Ark Lab Paris, Huawei Technologies Ltd, Hongkong, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046448314","display_name":"Maosong Sun","orcid":"https://orcid.org/0000-0002-6011-6115"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maosong Sun","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6771,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77538575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"29","issue":null,"first_page":"585","last_page":"593"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9930999875068665,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8888384103775024},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.7432155013084412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.733711838722229},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.6919524669647217},{"id":"https://openalex.org/keywords/latent-variable-model","display_name":"Latent variable model","score":0.6402554512023926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6250228881835938},{"id":"https://openalex.org/keywords/plot","display_name":"Plot (graphics)","score":0.6231589913368225},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5719970464706421},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5610917210578918},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5420843362808228},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49788713455200195},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4896472096443176},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4394341707229614},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.42423564195632935},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.41078996658325195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06916269659996033}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8888384103775024},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.7432155013084412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.733711838722229},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6919524669647217},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.6402554512023926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6250228881835938},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.6231589913368225},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5719970464706421},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5610917210578918},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5420843362808228},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49788713455200195},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4896472096443176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4394341707229614},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.42423564195632935},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.41078996658325195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06916269659996033},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2020.3039606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2020.3039606","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G533029806","display_name":null,"funder_award_id":"61761166008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5600457459","display_name":null,"funder_award_id":"2018YFB1005103","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7879634455","display_name":null,"funder_award_id":"61925601","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W100656083","https://openalex.org/W222053410","https://openalex.org/W600389053","https://openalex.org/W1521119952","https://openalex.org/W1802583536","https://openalex.org/W1909320841","https://openalex.org/W1959608418","https://openalex.org/W2090487795","https://openalex.org/W2101105183","https://openalex.org/W2108677974","https://openalex.org/W2122262818","https://openalex.org/W2123301721","https://openalex.org/W2133564696","https://openalex.org/W2154368244","https://openalex.org/W2154652894","https://openalex.org/W2162079025","https://openalex.org/W2170516265","https://openalex.org/W2415830263","https://openalex.org/W2466175319","https://openalex.org/W2621430944","https://openalex.org/W2738134019","https://openalex.org/W2739046565","https://openalex.org/W2787623698","https://openalex.org/W2798726039","https://openalex.org/W2888213795","https://openalex.org/W2889002152","https://openalex.org/W2891521313","https://openalex.org/W2896457183","https://openalex.org/W2897344470","https://openalex.org/W2904441038","https://openalex.org/W2914855263","https://openalex.org/W2935206035","https://openalex.org/W2950886580","https://openalex.org/W2952264928","https://openalex.org/W2962712961","https://openalex.org/W2962883855","https://openalex.org/W2962895717","https://openalex.org/W2962897886","https://openalex.org/W2963033554","https://openalex.org/W2963096510","https://openalex.org/W2963223306","https://openalex.org/W2963261593","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963713328","https://openalex.org/W2963951835","https://openalex.org/W2963993699","https://openalex.org/W2964308564","https://openalex.org/W3010865323","https://openalex.org/W3037859269","https://openalex.org/W3087871082","https://openalex.org/W4288375073","https://openalex.org/W4385245566","https://openalex.org/W6604150846","https://openalex.org/W6608792757","https://openalex.org/W6623987585","https://openalex.org/W6631300974","https://openalex.org/W6639732818","https://openalex.org/W6640963894","https://openalex.org/W6676315081","https://openalex.org/W6677929280","https://openalex.org/W6678262379","https://openalex.org/W6679434410","https://openalex.org/W6682631176","https://openalex.org/W6682991711","https://openalex.org/W6716400423","https://openalex.org/W6738812136","https://openalex.org/W6739901393","https://openalex.org/W6741304619","https://openalex.org/W6753811152","https://openalex.org/W6755086119","https://openalex.org/W6755207826","https://openalex.org/W6765292183","https://openalex.org/W6780274803"],"related_works":["https://openalex.org/W2461917396","https://openalex.org/W2037497866","https://openalex.org/W4243467573","https://openalex.org/W62001224","https://openalex.org/W1502435251","https://openalex.org/W3032390039","https://openalex.org/W1584341211","https://openalex.org/W3122667150","https://openalex.org/W3145681568","https://openalex.org/W4393387622"],"abstract_inverted_index":{"Story":[0],"generation":[1],"is":[2,62],"an":[3,34,59,87],"important":[4],"natural":[5,64],"language":[6,65],"processing":[7],"task":[8],"that":[9,79,108],"aims":[10],"to":[11,30,32,68,74,91,97,100],"generate":[12,33,101],"coherent":[13],"stories":[14],"automatically.":[15],"While":[16],"the":[17,81,93],"use":[18],"of":[19],"neural":[20,53],"networks":[21],"has":[22],"proven":[23],"effective":[24],"in":[25,117],"improving":[26],"story":[27,54],"generation,":[28],"how":[29,99],"learn":[31,98],"explainable":[35,67],"high-level":[36,77],"plot":[37,78],"still":[38],"remains":[39],"a":[40,48,63,71,76],"major":[41],"challenge.":[42],"In":[43],"this":[44],"article,":[45],"we":[46],"propose":[47],"latent":[49,72,94],"variable":[50,73,95],"model":[51,57,90,96],"for":[52],"generation.":[55],"The":[56],"treats":[58],"outline,":[60],"which":[61],"sentence":[66],"humans,":[69],"as":[70],"represent":[75],"bridges":[80],"input":[82],"and":[83,120],"output.":[84],"We":[85],"adopt":[86],"external":[88],"summarization":[89],"guide":[92],"outlines":[102],"from":[103],"training":[104],"data.":[105],"Experiments":[106],"show":[107],"our":[109],"approach":[110],"achieves":[111],"significant":[112],"improvements":[113],"over":[114],"state-of-the-art":[115],"methods":[116],"both":[118],"automatic":[119],"human":[121],"evaluations.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
