{"id":"https://openalex.org/W3086339196","doi":null,"title":"An Atlas of Cultural Commonsense for Machine Reasoning.","display_name":"An Atlas of Cultural Commonsense for Machine Reasoning.","publication_year":2020,"publication_date":"2020-09-11","ids":{"openalex":"https://openalex.org/W3086339196","mag":"3086339196"},"language":"en","primary_location":{"id":"mag:3086339196","doi":null,"is_oa":true,"landing_page_url":"https://www.arxiv.org/pdf/2009.05664","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.arxiv.org/pdf/2009.05664","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103415600","display_name":"Anurag Acharya","orcid":"https://orcid.org/0000-0002-3883-5287","observed_orcids":["https://orcid.org/0000-0002-3883-5287"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anurag Acharya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060691179","display_name":"Kartik Talamadupula","orcid":"https://orcid.org/0000-0002-4628-3785","observed_orcids":["https://orcid.org/0000-0002-4628-3785"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kartik Talamadupula","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4628-3785","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5109990506","display_name":"Mark Alan Finlayson","orcid":"https://orcid.org/0000-0001-5716-9526","observed_orcids":["https://orcid.org/0000-0001-5716-9526"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark A. Finlayson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.635699987411499,"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":0.635699987411499,"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":0.08150000125169754,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.049800001084804535,"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/commonsense-reasoning","display_name":"commonsense reasoning","score":0.8379999995231628},{"id":"https://openalex.org/keywords/cultural-differences","display_name":"cultural differences","score":0.6240000128746033},{"id":"https://openalex.org/keywords/crowdsourced-knowledge","display_name":"crowdsourced knowledge","score":0.5099999904632568},{"id":"https://openalex.org/keywords/ritual","display_name":"ritual","score":0.6190000176429749},{"id":"https://openalex.org/keywords/coming-of-age","display_name":"coming of age","score":0.8190000057220459},{"id":"https://openalex.org/keywords/marriage","display_name":"marriage","score":0.9879999756813049},{"id":"https://openalex.org/keywords/funerals","display_name":"funerals","score":0.9750000238418579},{"id":"https://openalex.org/keywords/intercultural-knowledge","display_name":"intercultural knowledge","score":0.6959999799728394},{"id":"https://openalex.org/keywords/national-groups","display_name":"national groups","score":0.48899999260902405},{"id":"https://openalex.org/keywords/question-answering","display_name":"question answering","score":0.531000018119812},{"id":"https://openalex.org/keywords/text-understanding","display_name":"text understanding","score":0.703000009059906},{"id":"https://openalex.org/keywords/text-generation","display_name":"text generation","score":0.7009999752044678},{"id":"https://openalex.org/keywords/cultural-bias-in-ai","display_name":"cultural bias in AI","score":0.6449999809265137}],"concepts":[{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.9186444282531738},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.7889514565467834},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.7106363773345947},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.6715267300605774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.579258382320404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46761736273765564},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4316200017929077},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.4298722445964813},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3430405557155609},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.22783741354942322},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.17488950490951538},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1483992636203766},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.08837509155273438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07304596900939941},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3086339196","doi":null,"is_oa":true,"landing_page_url":"https://www.arxiv.org/pdf/2009.05664","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:3086339196","doi":null,"is_oa":true,"landing_page_url":"https://www.arxiv.org/pdf/2009.05664","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W241117969","https://openalex.org/W579551907","https://openalex.org/W619071451","https://openalex.org/W1519354111","https://openalex.org/W1525088569","https://openalex.org/W1525578932","https://openalex.org/W1544827683","https://openalex.org/W1599016936","https://openalex.org/W1968471681","https://openalex.org/W2004792922","https://openalex.org/W2016089260","https://openalex.org/W2016657965","https://openalex.org/W2048688734","https://openalex.org/W2064468954","https://openalex.org/W2079725295","https://openalex.org/W2093971483","https://openalex.org/W2107658650","https://openalex.org/W2121300346","https://openalex.org/W2125436846","https://openalex.org/W2127402898","https://openalex.org/W2161951443","https://openalex.org/W2280280036","https://openalex.org/W2328078142","https://openalex.org/W2471421388","https://openalex.org/W2547490807","https://openalex.org/W2548036585","https://openalex.org/W2561529111","https://openalex.org/W2609826708","https://openalex.org/W2612431505","https://openalex.org/W2738674657","https://openalex.org/W2740432174","https://openalex.org/W2750402403","https://openalex.org/W2757177109","https://openalex.org/W2781474777","https://openalex.org/W2783946743","https://openalex.org/W2788460763","https://openalex.org/W2792026792","https://openalex.org/W2794325560","https://openalex.org/W2805206884","https://openalex.org/W2805441624","https://openalex.org/W2806055002","https://openalex.org/W2889317091","https://openalex.org/W2896555051","https://openalex.org/W2898695519","https://openalex.org/W2909072693","https://openalex.org/W2936262349","https://openalex.org/W2949776890","https://openalex.org/W2950339735","https://openalex.org/W2950733407","https://openalex.org/W2963101081","https://openalex.org/W2963748441","https://openalex.org/W2984662393","https://openalex.org/W2998385486","https://openalex.org/W3034829114","https://openalex.org/W3037763555","https://openalex.org/W3169168029","https://openalex.org/W4238525339"],"related_works":["https://openalex.org/W3117204777","https://openalex.org/W4320816217","https://openalex.org/W7125505158","https://openalex.org/W4385572212","https://openalex.org/W1565744154","https://openalex.org/W4412889941","https://openalex.org/W4401042855","https://openalex.org/W2928107702","https://openalex.org/W3037763555","https://openalex.org/W7125785587"],"abstract_inverted_index":{"Existing":[0],"commonsense":[1,33,54,93,136],"reasoning":[2,94],"datasets":[3],"for":[4,95],"AI":[5],"and":[6,63,73,98,148,175,178],"NLP":[7,168],"tasks":[8,169],"fail":[9],"to":[10,43,103,143,163],"address":[11],"an":[12,25],"important":[13],"aspect":[14],"of":[15,83,92,110,131,158],"human":[16],"life:":[17],"cultural":[18,44,156],"differences.":[19],"In":[20],"this":[21,159],"work,":[22],"we":[23],"introduce":[24],"approach":[26],"that":[27,40,56,106,125,155],"extends":[28],"prior":[29],"work":[30,88],"on":[31],"crowdsourcing":[32],"knowledge":[34,39,55,109,157],"by":[35,52,86],"incorporating":[36],"differences":[37],"in":[38,89,145,167],"are":[41],"attributable":[42],"or":[45],"national":[46,67],"groups.":[47,113],"We":[48],"demonstrate":[49],"the":[50,69,74,80,90,108,111,141],"technique":[51],"collecting":[53],"surrounds":[57],"three":[58,65],"fairly":[59],"universal":[60,132],"rituals---coming-of-age,":[61],"marriage,":[62],"funerals---across":[64],"different":[66,81,112],"groups:":[68],"United":[70],"States,":[71],"India,":[72],"Philippines.":[75],"Our":[76,152],"pilot":[77],"study":[78],"expands":[79],"types":[82,102],"relationships":[84],"identified":[85],"existing":[87],"field":[91],"commonplace":[96],"events,":[97],"uses":[99],"these":[100],"new":[101],"gather":[104],"information":[105],"distinguishes":[107],"It":[114],"also":[115],"moves":[116],"us":[117],"a":[118,123,128,146],"step":[119],"closer":[120],"towards":[121],"building":[122],"machine":[124],"doesn't":[126],"assume":[127],"rigid":[129],"framework":[130],"(and":[133],"likely":[134],"Western-biased)":[135],"knowledge,":[137],"but":[138],"rather":[139],"has":[140],"ability":[142],"reason":[144],"contextually":[147],"culturally":[149],"sensitive":[150],"way.":[151],"hope":[153],"is":[154],"sort":[160],"will":[161],"lead":[162],"more":[164],"human-like":[165],"performance":[166],"such":[170],"as":[171],"question":[172],"answering":[173],"(QA)":[174],"text":[176],"understanding":[177],"generation.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-09-21T00:00:00"}