{"id":"https://openalex.org/W3111790582","doi":"https://doi.org/10.1109/access.2020.3043452","title":"Structure-Aware Procedural Text Generation From an Image Sequence","display_name":"Structure-Aware Procedural Text Generation From an Image Sequence","publication_year":2020,"publication_date":"2020-12-09","ids":{"openalex":"https://openalex.org/W3111790582","doi":"https://doi.org/10.1109/access.2020.3043452","mag":"3111790582"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3043452","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3043452","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2020.3043452","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061593748","display_name":"Taichi Nishimura","orcid":"https://orcid.org/0000-0001-8725-7164"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taichi Nishimura","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Kyoto, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8725-7164","affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038408644","display_name":"Atsushi Hashimoto","orcid":"https://orcid.org/0000-0002-0799-4269"},"institutions":[{"id":"https://openalex.org/I146230289","display_name":"Omron (Japan)","ror":"https://ror.org/00q0w1h45","country_code":"JP","type":"company","lineage":["https://openalex.org/I146230289"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi Hashimoto","raw_affiliation_strings":["OMRON SINIC X Corporation, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-0799-4269","affiliations":[{"raw_affiliation_string":"OMRON SINIC X Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I146230289"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077707500","display_name":"Yoshitaka Ushiku","orcid":"https://orcid.org/0000-0002-9014-1389"},"institutions":[{"id":"https://openalex.org/I146230289","display_name":"Omron (Japan)","ror":"https://ror.org/00q0w1h45","country_code":"JP","type":"company","lineage":["https://openalex.org/I146230289"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshitaka Ushiku","raw_affiliation_strings":["OMRON SINIC X Corporation, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-9014-1389","affiliations":[{"raw_affiliation_string":"OMRON SINIC X Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I146230289"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000531397","display_name":"Hirotaka Kameko","orcid":"https://orcid.org/0000-0001-9844-6198"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirotaka Kameko","raw_affiliation_strings":["Academic Center for Computing and Media Studies, Kyoto University, Kyoto, Japan"],"raw_orcid":"https://orcid.org/0000-0001-9844-6198","affiliations":[{"raw_affiliation_string":"Academic Center for Computing and Media Studies, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049370647","display_name":"Yoko Yamakata","orcid":"https://orcid.org/0000-0003-2752-6179"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoko Yamakata","raw_affiliation_strings":["Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001224773","display_name":"Shinsuke Mori","orcid":"https://orcid.org/0000-0001-8596-8667"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinsuke Mori","raw_affiliation_strings":["Academic Center for Computing and Media Studies, Kyoto University, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academic Center for Computing and Media Studies, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.7603,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.88419164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"2125","last_page":"2141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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":0.9993000030517578,"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":0.8621858358383179},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6471335887908936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5928440690040588},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5861314535140991},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5514621734619141},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5502146482467651},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5238261818885803},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.5103062987327576},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.4942774772644043},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.451246440410614},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4315376281738281},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.42844006419181824},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.354536771774292},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.276003360748291},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1936880350112915}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8621858358383179},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6471335887908936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5928440690040588},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5861314535140991},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5514621734619141},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5502146482467651},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5238261818885803},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.5103062987327576},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4942774772644043},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.451246440410614},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4315376281738281},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.42844006419181824},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.354536771774292},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.276003360748291},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1936880350112915},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3043452","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3043452","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:14cc64f163d14b049126181eb601638b","is_oa":true,"landing_page_url":"https://doaj.org/article/14cc64f163d14b049126181eb601638b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 2125-2141 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3043452","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3043452","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W222053410","https://openalex.org/W1522301498","https://openalex.org/W1959608418","https://openalex.org/W2083423917","https://openalex.org/W2099614498","https://openalex.org/W2101105183","https://openalex.org/W2108325777","https://openalex.org/W2108501770","https://openalex.org/W2108598243","https://openalex.org/W2127863960","https://openalex.org/W2139501017","https://openalex.org/W2153579005","https://openalex.org/W2194775991","https://openalex.org/W2250379752","https://openalex.org/W2252225847","https://openalex.org/W2252269235","https://openalex.org/W2561658355","https://openalex.org/W2592749667","https://openalex.org/W2605035112","https://openalex.org/W2661761953","https://openalex.org/W2737041163","https://openalex.org/W2741230247","https://openalex.org/W2784025607","https://openalex.org/W2796136333","https://openalex.org/W2797585226","https://openalex.org/W2804668597","https://openalex.org/W2880875857","https://openalex.org/W2885318751","https://openalex.org/W2890399523","https://openalex.org/W2927431361","https://openalex.org/W2949416428","https://openalex.org/W2950590791","https://openalex.org/W2952132648","https://openalex.org/W2954801189","https://openalex.org/W2957775769","https://openalex.org/W2962795934","https://openalex.org/W2963206148","https://openalex.org/W2963355447","https://openalex.org/W2964121744","https://openalex.org/W2964242760","https://openalex.org/W2979490629","https://openalex.org/W2984008963","https://openalex.org/W2995025772","https://openalex.org/W3087871082","https://openalex.org/W3098391431","https://openalex.org/W3108413361","https://openalex.org/W4294170691","https://openalex.org/W6608792757","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6675944832","https://openalex.org/W6679101406","https://openalex.org/W6682691769","https://openalex.org/W6691651475","https://openalex.org/W6739664114","https://openalex.org/W6747866816","https://openalex.org/W6749916090","https://openalex.org/W6751888654","https://openalex.org/W6752788575","https://openalex.org/W6753579488","https://openalex.org/W6785356334","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W2986176047","https://openalex.org/W2360650520","https://openalex.org/W4288263119","https://openalex.org/W3015724364","https://openalex.org/W2967994095","https://openalex.org/W4285240985","https://openalex.org/W2900126711","https://openalex.org/W4286930972","https://openalex.org/W3202115945","https://openalex.org/W2542958340"],"abstract_inverted_index":{"It":[0],"is":[1,51,58],"an":[2,98],"important":[3,45],"activity":[4],"for":[5,20,40],"our":[6],"society":[7],"to":[8,18,27,77,120],"create":[9],"new":[10,108],"value":[11],"by":[12,36,68],"combining":[13],"materials.":[14],"From":[15],"daily":[16],"cooking":[17],"manufacturing":[19],"industry,":[21],"we":[22,104],"often":[23],"describe":[24],"the":[25,48,55,59,79,88,137,145,150],"way":[26],"do":[28],"it":[29],"as":[30],"a":[31,69,85,107,112,115,121,128],"procedural":[32,49,94,131],"text.":[33],"As":[34],"pointed":[35],"some":[37],"previous":[38],"studies":[39],"natural":[41],"language":[42,91,124],"understanding,":[43],"one":[44],"property":[46],"of":[47,54,62,81,93,114,152],"text":[50,95,132],"its":[52],"dependency":[53,139],"context,":[56],"which":[57,110,135],"merging":[60,118],"operations":[61],"materials":[63],"and":[64,90,123,126],"can":[65,148],"be":[66],"represented":[67],"graph":[70],"or":[71],"tree":[72,116,119],"structure.":[73],"This":[74],"paper":[75],"aims":[76],"investigate":[78],"impact":[80],"explicitly":[82],"introducing":[83],"such":[84],"structure":[86,117],"on":[87],"vision":[89,122],"task":[92],"generation":[96,133],"from":[97],"image":[99],"sequence.":[100],"To":[101],"this":[102],"end,":[103],"propose":[105],"(1)":[106],"dataset,":[109],"extends":[111],"definition":[113],"version":[125],"(2)":[127],"novel":[129],"structure-aware":[130],"model,":[134],"learns":[136],"context":[138],"efficiently.":[140],"Experimental":[141],"results":[142],"show":[143],"that":[144],"proposed":[146],"method":[147],"boost":[149],"performance":[151],"traditional":[153],"versatile":[154],"methods.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}