{"id":"https://openalex.org/W2462848072","doi":"https://doi.org/10.18653/v1/n16-1023","title":"Stating the Obvious: Extracting Visual Common Sense Knowledge","display_name":"Stating the Obvious: Extracting Visual Common Sense Knowledge","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2462848072","doi":"https://doi.org/10.18653/v1/n16-1023","mag":"2462848072"},"language":"en","primary_location":{"id":"doi:10.18653/v1/n16-1023","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-1023","pdf_url":"https://www.aclweb.org/anthology/N16-1023.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/N16-1023.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039205261","display_name":"Mark Yatskar","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark Yatskar","raw_affiliation_strings":["Computer Science & Engineering, University of Washington, Seattle, WA"],"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, University of Washington, Seattle, WA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027328044","display_name":"Vicente Ord\u00f3\u00f1ez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vicente Ordonez","raw_affiliation_strings":["Allen Institute for Artificial Intelligence (AI2), Seattle, WA"],"affiliations":[{"raw_affiliation_string":"Allen Institute for Artificial Intelligence (AI2), Seattle, WA","institution_ids":["https://openalex.org/I4210156221"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101576595","display_name":"Ali Farhadi","orcid":"https://orcid.org/0000-0001-7249-2380"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Farhadi","raw_affiliation_strings":["Allen Institute for Artificial Intelligence (AI2), Seattle, WA","Computer Science & Engineering, University of Washington, Seattle, WA"],"affiliations":[{"raw_affiliation_string":"Allen Institute for Artificial Intelligence (AI2), Seattle, WA","institution_ids":["https://openalex.org/I4210156221"]},{"raw_affiliation_string":"Computer Science & Engineering, University of Washington, Seattle, WA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027328044"],"corresponding_institution_ids":["https://openalex.org/I4210156221"],"apc_list":null,"apc_paid":null,"fwci":9.4265,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.97948817,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9937999844551086,"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":0.9932000041007996,"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":0.6555100679397583},{"id":"https://openalex.org/keywords/common-sense","display_name":"Common sense","score":0.45246151089668274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38985002040863037},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3366866409778595},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.22125306725502014},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.08137452602386475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6555100679397583},{"id":"https://openalex.org/C2779814899","wikidata":"https://www.wikidata.org/wiki/Q332880","display_name":"Common sense","level":2,"score":0.45246151089668274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38985002040863037},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3366866409778595},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.22125306725502014},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.08137452602386475}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/n16-1023","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-1023","pdf_url":"https://www.aclweb.org/anthology/N16-1023.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/n16-1023","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-1023","pdf_url":"https://www.aclweb.org/anthology/N16-1023.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5400000214576721,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2462848072.pdf","grobid_xml":"https://content.openalex.org/works/W2462848072.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W852874","https://openalex.org/W13682356","https://openalex.org/W1512387364","https://openalex.org/W1543747524","https://openalex.org/W1840435438","https://openalex.org/W1861492603","https://openalex.org/W1891689858","https://openalex.org/W1905533542","https://openalex.org/W1964763677","https://openalex.org/W1965605789","https://openalex.org/W1974907760","https://openalex.org/W2016089260","https://openalex.org/W2051188476","https://openalex.org/W2071718761","https://openalex.org/W2071780887","https://openalex.org/W2078446268","https://openalex.org/W2081580037","https://openalex.org/W2081613070","https://openalex.org/W2088589173","https://openalex.org/W2100751297","https://openalex.org/W2118707092","https://openalex.org/W2123442489","https://openalex.org/W2135166986","https://openalex.org/W2250379249","https://openalex.org/W2396656579","https://openalex.org/W4386506836"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3080145458","https://openalex.org/W2593099431","https://openalex.org/W3210417930","https://openalex.org/W3132003316","https://openalex.org/W658534857","https://openalex.org/W3095969280","https://openalex.org/W2390279801","https://openalex.org/W3192589309"],"abstract_inverted_index":{"Obtaining":[0],"common":[1,20,43,72],"sense":[2,21,44,73],"knowledge":[3],"using":[4,55],"current":[5],"information":[6],"extraction":[7],"techniques":[8],"is":[9],"extremely":[10],"challenging.In":[11],"this":[12],"work,":[13],"we":[14,63],"instead":[15],"propose":[16],"to":[17,66,75],"derive":[18],"simple":[19],"statements":[22],"from":[23,49],"fully":[24],"annotated":[25],"object":[26],"detection":[27],"corpora":[28,51],"such":[29,50],"as":[30],"the":[31],"Microsoft":[32],"Common":[33],"Objects":[34],"in":[35],"Context":[36],"dataset.We":[37],"show":[38],"that":[39],"many":[40],"thousands":[41],"of":[42,71],"facts":[45],"can":[46],"be":[47],"extracted":[48],"at":[52],"high":[53],"quality.Furthermore,":[54],"WordNet":[56],"and":[57,78],"a":[58],"novel":[59],"submodular":[60],"k-coverage":[61],"formulation,":[62],"are":[64],"able":[65],"generalize":[67],"our":[68],"initial":[69],"set":[70],"assertions":[74],"unseen":[76],"objects":[77],"uncover":[79],"over":[80],"400k":[81],"potentially":[82],"useful":[83],"facts.":[84]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
