{"id":"https://openalex.org/W3160064574","doi":"https://doi.org/10.1109/access.2021.3080275","title":"Sim2RealQA: Using Life Simulation to Solve Question Answering Real-World Events","display_name":"Sim2RealQA: Using Life Simulation to Solve Question Answering Real-World Events","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3160064574","doi":"https://doi.org/10.1109/access.2021.3080275","mag":"3160064574"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3080275","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3080275","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":null,"license_id":null,"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.2021.3080275","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006630406","display_name":"Taiki Miyanishi","orcid":"https://orcid.org/0000-0001-9105-1601"},"institutions":[{"id":"https://openalex.org/I4210104143","display_name":"Advanced Telecommunications Research Institute International","ror":"https://ror.org/01pe1d703","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210104143"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Taiki Miyanishi","raw_affiliation_strings":["Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan","RIKEN Center for Advanced Intelligence Project (RIKEN AIP), Kyoto, Japan","ORCiD"],"affiliations":[{"raw_affiliation_string":"Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]},{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project (RIKEN AIP), Kyoto, Japan","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039456378","display_name":"Takuya Maekawa","orcid":"https://orcid.org/0000-0002-7227-580X"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Maekawa","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Suita, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Suita, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004328317","display_name":"Motoaki Kawanabe","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104143","display_name":"Advanced Telecommunications Research Institute International","ror":"https://ror.org/01pe1d703","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210104143"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Motoaki Kawanabe","raw_affiliation_strings":["Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan","RIKEN Center for Advanced Intelligence Project (RIKEN AIP), Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]},{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project (RIKEN AIP), Kyoto, Japan","institution_ids":["https://openalex.org/I4210126580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006630406"],"corresponding_institution_ids":["https://openalex.org/I4210104143","https://openalex.org/I4210126580"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4803,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63748366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"75003","last_page":"75020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","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"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9970999956130981,"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":0.9902999997138977,"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/question-answering","display_name":"Question answering","score":0.875663161277771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.799854040145874},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6911174058914185},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6210892200469971},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4516134560108185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4240912199020386},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33294087648391724},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32508015632629395}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.875663161277771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.799854040145874},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6911174058914185},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6210892200469971},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4516134560108185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4240912199020386},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33294087648391724},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32508015632629395},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3080275","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3080275","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7a195bc759e4426ea81b7241955d9bfe","is_oa":true,"landing_page_url":"https://doaj.org/article/7a195bc759e4426ea81b7241955d9bfe","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 75003-75020 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3080275","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3080275","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":null,"license_id":null,"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":127,"referenced_works":["https://openalex.org/W1497385253","https://openalex.org/W1522301498","https://openalex.org/W1525961042","https://openalex.org/W1537509622","https://openalex.org/W1665214252","https://openalex.org/W1897824230","https://openalex.org/W1902237438","https://openalex.org/W1924770834","https://openalex.org/W1933349210","https://openalex.org/W1969307352","https://openalex.org/W1977687024","https://openalex.org/W1985970254","https://openalex.org/W1986136466","https://openalex.org/W1999022712","https://openalex.org/W2003637680","https://openalex.org/W2024669213","https://openalex.org/W2060269880","https://openalex.org/W2094204865","https://openalex.org/W2095705004","https://openalex.org/W2100989187","https://openalex.org/W2105046342","https://openalex.org/W2108950108","https://openalex.org/W2112737587","https://openalex.org/W2121868539","https://openalex.org/W2125436846","https://openalex.org/W2130942839","https://openalex.org/W2131494463","https://openalex.org/W2131774270","https://openalex.org/W2133564696","https://openalex.org/W2135450947","https://openalex.org/W2136653859","https://openalex.org/W2142556291","https://openalex.org/W2143364815","https://openalex.org/W2148010363","https://openalex.org/W2156136571","https://openalex.org/W2161629493","https://openalex.org/W2250539671","https://openalex.org/W2293453011","https://openalex.org/W2337601653","https://openalex.org/W2466175319","https://openalex.org/W2487365028","https://openalex.org/W2507756961","https://openalex.org/W2510496906","https://openalex.org/W2561715562","https://openalex.org/W2587528408","https://openalex.org/W2606974598","https://openalex.org/W2740107682","https://openalex.org/W2741253951","https://openalex.org/W2774005037","https://openalex.org/W2799002257","https://openalex.org/W2803299344","https://openalex.org/W2808223534","https://openalex.org/W2851948290","https://openalex.org/W2890902815","https://openalex.org/W2901725278","https://openalex.org/W2919587621","https://openalex.org/W2930283066","https://openalex.org/W2950697717","https://openalex.org/W2951873305","https://openalex.org/W2953127211","https://openalex.org/W2962684798","https://openalex.org/W2962790689","https://openalex.org/W2962843773","https://openalex.org/W2962874939","https://openalex.org/W2962887844","https://openalex.org/W2962925243","https://openalex.org/W2962944953","https://openalex.org/W2962957005","https://openalex.org/W2963175042","https://openalex.org/W2963184939","https://openalex.org/W2963319085","https://openalex.org/W2963323070","https://openalex.org/W2963448850","https://openalex.org/W2963494889","https://openalex.org/W2963518342","https://openalex.org/W2963546833","https://openalex.org/W2963748441","https://openalex.org/W2963800628","https://openalex.org/W2963890755","https://openalex.org/W2963938442","https://openalex.org/W2963963993","https://openalex.org/W2964046296","https://openalex.org/W2964091467","https://openalex.org/W2964121744","https://openalex.org/W2964222271","https://openalex.org/W2964222622","https://openalex.org/W2964267515","https://openalex.org/W2964308564","https://openalex.org/W2964339842","https://openalex.org/W2964344300","https://openalex.org/W2968095971","https://openalex.org/W2982193176","https://openalex.org/W2990747716","https://openalex.org/W2998697567","https://openalex.org/W3003604522","https://openalex.org/W3034500398","https://openalex.org/W3034758614","https://openalex.org/W3035756007","https://openalex.org/W3093967600","https://openalex.org/W3101798106","https://openalex.org/W3126325318","https://openalex.org/W3133261350","https://openalex.org/W4230088311","https://openalex.org/W4289293738","https://openalex.org/W4298422451","https://openalex.org/W6631190155","https://openalex.org/W6631399359","https://openalex.org/W6637242042","https://openalex.org/W6640212811","https://openalex.org/W6656700134","https://openalex.org/W6674330103","https://openalex.org/W6675583992","https://openalex.org/W6678890848","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6679844565","https://openalex.org/W6697449767","https://openalex.org/W6703665502","https://openalex.org/W6725207838","https://openalex.org/W6726253183","https://openalex.org/W6727099177","https://openalex.org/W6746518932","https://openalex.org/W6753127804","https://openalex.org/W6756881225","https://openalex.org/W6770955262","https://openalex.org/W6784020155","https://openalex.org/W6784429693"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W2349927912","https://openalex.org/W4288102755","https://openalex.org/W2103247590","https://openalex.org/W297543570"],"abstract_inverted_index":{"As":[0],"smart":[1,10],"speakers":[2],"continue":[3],"to":[4,25,59,111,166],"proliferate,":[5],"question":[6,22,167],"answering":[7,23,43,168],"(QA)":[8],"by":[9,30],"devices":[11],"is":[12,154,200],"being":[13],"woven":[14],"into":[15],"our":[16],"daily":[17,26],"lives.":[18],"This":[19],"study":[20],"assumes":[21],"related":[24],"life":[27,128,198],"events":[28],"detected":[29],"context":[31],"recognition":[32,37],"systems,":[33,41],"such":[34],"as":[35],"activity":[36,192],"and":[38,51,72,91,130,158,182],"indoor":[39],"positioning":[40],"e.g.,":[42,172],"questions":[44,63,164],"like":[45],"\u201cDid":[46],"my":[47,56],"grandma":[48],"eat":[49],"dinner?\u201d":[50],"\u201cHow":[52],"many":[53],"times":[54],"did":[55],"grandpa":[57],"go":[58],"the":[60,92,174,184],"toilet?\u201d":[61],"These":[62],"can":[64,145],"effectively":[65],"support":[66],"human":[67,74],"memory-aids,":[68],"locate":[69],"lost":[70],"items,":[71],"monitor":[73],"activities.":[75],"However,":[76],"training":[77,86],"a":[78,100,108,119,127,147,179,201],"question-answering":[79],"model":[80,121,144],"requires":[81],"large":[82],"amounts":[83],"of":[84,94,156,163,176,178,186],"labeled":[85],"data":[87],"(i.e.,":[88],"questions,":[89],"answers,":[90],"time-series":[93],"real-world":[95,170,180,206,211],"event":[96,181],"triplets)":[97],"collected":[98],"in":[99,126,169],"target":[101],"environment.":[102],"In":[103],"this":[104],"paper,":[105],"we":[106],"propose":[107],"novel":[109],"simulation":[110],"real":[112],"QA":[113,120,123,136,143,152,207],"(Sim2RealQA)":[114],"framework":[115],"that":[116,153,196],"completely":[117],"trains":[118],"with":[122,160],"datasets":[124],"produced":[125],"simulator":[129],"use":[131],"it":[132],"for":[133,151,204],"solving":[134,205],"real-word":[135],"problems":[137,208],"without":[138],"answer":[139,212],"labels.":[140],"Our":[141],"proposed":[142],"learn":[146],"general":[148],"reasoning":[149],"process":[150],"independent":[155],"environments":[157],"deal":[159],"diverse":[161],"types":[162],"specific":[165],"environments,":[171],"counting":[173],"number":[175],"occurrences":[177],"enumerating":[183],"names":[185],"those":[187],"who":[188],"are":[189,214],"performing":[190],"an":[191],"together.":[193],"Experiments":[194],"show":[195],"using":[197],"simulations":[199],"promising":[202],"approach":[203],"when":[209],"no":[210],"labels":[213],"available.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}