{"id":"https://openalex.org/W4387185428","doi":"https://doi.org/10.3233/faia230472","title":"Story Ending Generation Using Commonsense Casual Reasoning and Graph Convolutional Networks","display_name":"Story Ending Generation Using Commonsense Casual Reasoning and Graph Convolutional Networks","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387185428","doi":"https://doi.org/10.3233/faia230472"},"language":"en","primary_location":{"id":"doi:10.3233/faia230472","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230472","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230472","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230472","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101556632","display_name":"Eun-Kyung Park","orcid":"https://orcid.org/0000-0002-8777-3457"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Eunkyung Park","raw_affiliation_strings":["UNSW Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNSW Sydney","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015158455","display_name":"Raymond K. Wong","orcid":"https://orcid.org/0000-0002-9814-6029"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Raymond K. Wong","raw_affiliation_strings":["UNSW Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNSW Sydney","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021022882","display_name":"Victor W. Chu","orcid":"https://orcid.org/0000-0002-5853-5820"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Victor W. Chu","raw_affiliation_strings":["University of Technology Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101556632"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.9976,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78622367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9975000023841858,"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":0.9842000007629395,"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":0.7453924417495728},{"id":"https://openalex.org/keywords/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.63799649477005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6002389192581177},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5899436473846436},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.5693001747131348},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.47241201996803284},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.46795785427093506},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4520948529243469},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4383932948112488},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4270889163017273},{"id":"https://openalex.org/keywords/coreference","display_name":"Coreference","score":0.4265119433403015},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41455695033073425},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.20364630222320557},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1376301348209381},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.13159117102622986}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7453924417495728},{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.63799649477005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6002389192581177},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5899436473846436},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.5693001747131348},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.47241201996803284},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.46795785427093506},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4520948529243469},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4383932948112488},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4270889163017273},{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.4265119433403015},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41455695033073425},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.20364630222320557},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1376301348209381},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.13159117102622986},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230472","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230472","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230472","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230472","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230472","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230472","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387185428.pdf"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W25648700","https://openalex.org/W1558788122","https://openalex.org/W1622242599","https://openalex.org/W1902237438","https://openalex.org/W2090487795","https://openalex.org/W2104246439","https://openalex.org/W2123301721","https://openalex.org/W2154652894","https://openalex.org/W2158899491","https://openalex.org/W2170516265","https://openalex.org/W2250539671","https://openalex.org/W2251913848","https://openalex.org/W2270070752","https://openalex.org/W2396534511","https://openalex.org/W2466175319","https://openalex.org/W2526182867","https://openalex.org/W2740663516","https://openalex.org/W2805486818","https://openalex.org/W2831850043","https://openalex.org/W2886970679","https://openalex.org/W2887684398","https://openalex.org/W2889002152","https://openalex.org/W2896457183","https://openalex.org/W2898867267","https://openalex.org/W2900557941","https://openalex.org/W2902800696","https://openalex.org/W2949602493","https://openalex.org/W2950339735","https://openalex.org/W2952230511","https://openalex.org/W2952768212","https://openalex.org/W2963101081","https://openalex.org/W2963167649","https://openalex.org/W2963355447","https://openalex.org/W2963574252","https://openalex.org/W2963614567","https://openalex.org/W2963925965","https://openalex.org/W2963993699","https://openalex.org/W2964669873","https://openalex.org/W2965962253","https://openalex.org/W2972244901","https://openalex.org/W2997764164","https://openalex.org/W2999854190","https://openalex.org/W3014521650","https://openalex.org/W3024131638","https://openalex.org/W3034787499","https://openalex.org/W3082243760","https://openalex.org/W3104402684","https://openalex.org/W3155332104","https://openalex.org/W3174202502","https://openalex.org/W3174225409","https://openalex.org/W4221143296","https://openalex.org/W4226278401","https://openalex.org/W4285182954","https://openalex.org/W4285294723","https://openalex.org/W4296300649","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W3035583586","https://openalex.org/W4320165839","https://openalex.org/W2151799802","https://openalex.org/W4385488510","https://openalex.org/W2196562041","https://openalex.org/W2073302931","https://openalex.org/W4378501473","https://openalex.org/W3206107299","https://openalex.org/W3082691151","https://openalex.org/W4287633646"],"abstract_inverted_index":{"Story":[0],"Ending":[1],"Generation":[2],"is":[3,75],"a":[4,8,14,28,102],"task":[5,22],"of":[6,20,31,63,117,168],"generating":[7,82],"coherent":[9],"and":[10,41,66,95,127,154],"sensible":[11],"ending":[12],"for":[13],"given":[15],"story.":[16],"The":[17,68],"key":[18,69],"challenges":[19,58],"this":[21],"are":[23],"i)":[24],"how":[25,34,43],"to":[26,35,44,60,76,111,131,144],"obtain":[27,45],"good":[29],"understanding":[30,115],"context,":[32],"ii)":[33],"capture":[36,77,132],"hidden":[37,79],"information":[38,148],"between":[39,86],"lines,":[40],"iii)":[42],"causal":[46,64,94,104,125],"progression.":[47],"However,":[48],"recent":[49],"machine":[50],"learning":[51],"models":[52],"can":[53,163],"only":[54],"partially":[55],"address":[56],"these":[57],"due":[59],"the":[61,78,113,122,166],"lack":[62],"entailment":[65],"consistency.":[67],"novelty":[70],"in":[71],"our":[72,160],"proposed":[73,161],"approach":[74],"story":[80,97,123,170],"by":[81],"transitional":[83],"commonsense":[84,109],"sentences":[85],"each":[87],"adjacent":[88],"context":[89],"sentence,":[90],"which":[91],"substantially":[92],"enriches":[93],"consistent":[96],"flow.":[98],"Specifically,":[99],"we":[100,138],"adopt":[101],"soft":[103],"relation":[105],"using":[106],"people\u2019s":[107],"everyday":[108],"knowledge":[110],"mimic":[112],"cognitive":[114],"process":[116],"readers.":[118],"We":[119],"then":[120],"enrich":[121],"with":[124],"reasoning":[126],"utilize":[128],"dependency":[129],"parsing":[130],"long":[133],"range":[134],"text":[135],"relations.":[136],"Finally,":[137],"apply":[139],"multi-level":[140],"Graph":[141],"Convolutional":[142],"Networks":[143],"deliver":[145],"enriched":[146],"contextual":[147],"across":[149],"different":[150],"layers.":[151],"Both":[152],"automatic":[153],"human":[155],"evaluation":[156],"results":[157],"show":[158],"that":[159],"model":[162],"significantly":[164],"improve":[165],"quality":[167],"generated":[169],"endings.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
