{"id":"https://openalex.org/W2972718810","doi":"https://doi.org/10.18653/v1/d19-1596","title":"Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation","display_name":"Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2972718810","doi":"https://doi.org/10.18653/v1/d19-1596","mag":"2972718810"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1596","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1596","pdf_url":"https://www.aclweb.org/anthology/D19-1596.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1596.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065379518","display_name":"Arijit Ray","orcid":"https://orcid.org/0000-0002-4175-0655"},"institutions":[{"id":"https://openalex.org/I157674215","display_name":"Presidency University","ror":"https://ror.org/04xgbph11","country_code":"IN","type":"education","lineage":["https://openalex.org/I157674215"]},{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["IN","US"],"is_corresponding":true,"raw_author_name":"Arijit Ray","raw_affiliation_strings":["SRI International,","Presidency University, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"SRI International,","institution_ids":["https://openalex.org/I1298353152"]},{"raw_affiliation_string":"Presidency University, Kolkata, India","institution_ids":["https://openalex.org/I157674215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070457855","display_name":"Karan Sikka","orcid":"https://orcid.org/0000-0002-0187-5322"},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karan Sikka","raw_affiliation_strings":["SRI International,","SRI International, Menlo Park, United States"],"affiliations":[{"raw_affiliation_string":"SRI International,","institution_ids":["https://openalex.org/I1298353152"]},{"raw_affiliation_string":"SRI International, Menlo Park, United States","institution_ids":["https://openalex.org/I1298353152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028124265","display_name":"Ajay Divakaran","orcid":"https://orcid.org/0000-0003-0371-5346"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajay Divakaran","raw_affiliation_strings":["Georgia Institute of Technology","SRI International,","SRI International, Menlo Park, United States"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"SRI International,","institution_ids":["https://openalex.org/I1298353152"]},{"raw_affiliation_string":"SRI International, Menlo Park, United States","institution_ids":["https://openalex.org/I1298353152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051259505","display_name":"Stefan Lee","orcid":"https://orcid.org/0000-0001-5953-1963"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefan Lee","raw_affiliation_strings":["SRI International,","Georgia Institute of Technology, Atlanta, United States"],"affiliations":[{"raw_affiliation_string":"SRI International,","institution_ids":["https://openalex.org/I1298353152"]},{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, United States","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015965173","display_name":"Giedrius Burachas","orcid":null},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Giedrius Burachas","raw_affiliation_strings":["SRI International,","SRI International, Menlo Park, United States"],"affiliations":[{"raw_affiliation_string":"SRI International,","institution_ids":["https://openalex.org/I1298353152"]},{"raw_affiliation_string":"SRI International, Menlo Park, United States","institution_ids":["https://openalex.org/I1298353152"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5065379518"],"corresponding_institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I157674215"],"apc_list":null,"apc_paid":null,"fwci":0.5109,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69696634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5859","last_page":"5864"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.998199999332428,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965000152587891,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.8440122604370117},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6526046991348267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.562602698802948},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.5594103932380676},{"id":"https://openalex.org/keywords/observable","display_name":"Observable","score":0.4587055444717407},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4109795093536377},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41038286685943604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3846261203289032},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10751870274543762},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09912210702896118}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.8440122604370117},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6526046991348267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.562602698802948},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.5594103932380676},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.4587055444717407},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4109795093536377},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41038286685943604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3846261203289032},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10751870274543762},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09912210702896118},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/d19-1596","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1596","pdf_url":"https://www.aclweb.org/anthology/D19-1596.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1909.04696","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.04696","pdf_url":"https://arxiv.org/pdf/1909.04696","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"raw_type":"text"},{"id":"mag:2972718810","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1909.04696","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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},{"id":"doi:10.48550/arxiv.1909.04696","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1909.04696","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1596","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1596","pdf_url":"https://www.aclweb.org/anthology/D19-1596.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5699999928474426}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2972718810.pdf","grobid_xml":"https://content.openalex.org/works/W2972718810.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1933349210","https://openalex.org/W1965623190","https://openalex.org/W2064675550","https://openalex.org/W2081580037","https://openalex.org/W2153579005","https://openalex.org/W2194775991","https://openalex.org/W2277195237","https://openalex.org/W2306876680","https://openalex.org/W2472559481","https://openalex.org/W2560730294","https://openalex.org/W2561715562","https://openalex.org/W2606636926","https://openalex.org/W2608109911","https://openalex.org/W2740839465","https://openalex.org/W2745461083","https://openalex.org/W2771317710","https://openalex.org/W2799244840","https://openalex.org/W2913187365","https://openalex.org/W2938082352","https://openalex.org/W2950104027","https://openalex.org/W2950761309","https://openalex.org/W2953201681","https://openalex.org/W2962685807","https://openalex.org/W3194691699"],"related_works":["https://openalex.org/W2987504399","https://openalex.org/W2965628639","https://openalex.org/W3134782653","https://openalex.org/W2790777763","https://openalex.org/W2608109911","https://openalex.org/W2918566147","https://openalex.org/W2936135081","https://openalex.org/W2944668088","https://openalex.org/W3035243232","https://openalex.org/W3033514332","https://openalex.org/W2951210508","https://openalex.org/W2560730294","https://openalex.org/W3035517717","https://openalex.org/W2754251838","https://openalex.org/W2555661914","https://openalex.org/W3034247148","https://openalex.org/W3107220497","https://openalex.org/W2759816466","https://openalex.org/W3034594935","https://openalex.org/W2991739879"],"abstract_inverted_index":{"Arijit":[0],"Ray,":[1],"Karan":[2],"Sikka,":[3],"Ajay":[4],"Divakaran,":[5],"Stefan":[6],"Lee,":[7],"Giedrius":[8],"Burachas.":[9],"Proceedings":[10],"of":[11],"the":[12,23],"2019":[13],"Conference":[14,27],"on":[15,28],"Empirical":[16],"Methods":[17],"in":[18],"Natural":[19,29],"Language":[20,30],"Processing":[21,31],"and":[22],"9th":[24],"International":[25],"Joint":[26],"(EMNLP-IJCNLP).":[32],"2019.":[33]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-21T08:13:44.787528","created_date":"2022-07-28T00:00:00"}