{"id":"https://openalex.org/W2890399523","doi":"https://doi.org/10.18653/v1/d18-1166","title":"RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes","display_name":"RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2890399523","doi":"https://doi.org/10.18653/v1/d18-1166","mag":"2890399523"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d18-1166","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1166","pdf_url":"https://www.aclweb.org/anthology/D18-1166.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D18-1166.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032560855","display_name":"Semih Yagcioglu","orcid":null},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Semih Yagcioglu","raw_affiliation_strings":["Hacettepe University Computer Vision Lab Dept. of Computer Engineering, Hacettepe University, Ankara, TURKEY"],"affiliations":[{"raw_affiliation_string":"Hacettepe University Computer Vision Lab Dept. of Computer Engineering, Hacettepe University, Ankara, TURKEY","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000080119","display_name":"Aykut Erdem","orcid":"https://orcid.org/0000-0002-6280-8422"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Aykut Erdem","raw_affiliation_strings":["Hacettepe University Computer Vision Lab Dept. of Computer Engineering, Hacettepe University, Ankara, TURKEY"],"affiliations":[{"raw_affiliation_string":"Hacettepe University Computer Vision Lab Dept. of Computer Engineering, Hacettepe University, Ankara, TURKEY","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074809120","display_name":"Erkut Erdem","orcid":"https://orcid.org/0000-0002-6744-8614"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Erkut Erdem","raw_affiliation_strings":["Hacettepe University Computer Vision Lab Dept. of Computer Engineering, Hacettepe University, Ankara, TURKEY"],"affiliations":[{"raw_affiliation_string":"Hacettepe University Computer Vision Lab Dept. of Computer Engineering, Hacettepe University, Ankara, TURKEY","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090096127","display_name":"Nazl\u0131 \u0130kizler-Cinbi\u015f","orcid":"https://orcid.org/0000-0002-8644-2875"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Nazli Ikizler-Cinbis","raw_affiliation_strings":["Hacettepe University Computer Vision Lab Dept. of Computer Engineering, Hacettepe University, Ankara, TURKEY"],"affiliations":[{"raw_affiliation_string":"Hacettepe University Computer Vision Lab Dept. of Computer Engineering, Hacettepe University, Ankara, TURKEY","institution_ids":["https://openalex.org/I66514158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032560855"],"corresponding_institution_ids":["https://openalex.org/I66514158"],"apc_list":null,"apc_paid":null,"fwci":10.9132,"has_fulltext":true,"cited_by_count":119,"citation_normalized_percentile":{"value":0.98572771,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1358","last_page":"1368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9994999766349792,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9990000128746033,"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/comprehension","display_name":"Comprehension","score":0.8135381937026978},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7692146897315979},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6639717817306519},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6465876698493958},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6254191398620605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5126320719718933},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49761584401130676},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11273714900016785}],"concepts":[{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.8135381937026978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7692146897315979},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6639717817306519},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6465876698493958},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6254191398620605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5126320719718933},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49761584401130676},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11273714900016785},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d18-1166","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1166","pdf_url":"https://www.aclweb.org/anthology/D18-1166.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d18-1166","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1166","pdf_url":"https://www.aclweb.org/anthology/D18-1166.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7699999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2890399523.pdf","grobid_xml":"https://content.openalex.org/works/W2890399523.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W658020064","https://openalex.org/W805710393","https://openalex.org/W1544827683","https://openalex.org/W1555598219","https://openalex.org/W1933349210","https://openalex.org/W1964162497","https://openalex.org/W2095739681","https://openalex.org/W2114937339","https://openalex.org/W2117539524","https://openalex.org/W2126209950","https://openalex.org/W2131744502","https://openalex.org/W2132986783","https://openalex.org/W2158899491","https://openalex.org/W2169200297","https://openalex.org/W2189534360","https://openalex.org/W2194775991","https://openalex.org/W2202226326","https://openalex.org/W2252225847","https://openalex.org/W2307512708","https://openalex.org/W2510759893","https://openalex.org/W2552837936","https://openalex.org/W2557764419","https://openalex.org/W2558203065","https://openalex.org/W2560730294","https://openalex.org/W2561658355","https://openalex.org/W2561715562","https://openalex.org/W2604832008","https://openalex.org/W2737041163","https://openalex.org/W2746097825","https://openalex.org/W2766732270","https://openalex.org/W2949615363","https://openalex.org/W2951534261","https://openalex.org/W2952230511","https://openalex.org/W2962809918","https://openalex.org/W2963202404","https://openalex.org/W2963339397","https://openalex.org/W2963436881","https://openalex.org/W2963748441","https://openalex.org/W2963890755","https://openalex.org/W2963963993","https://openalex.org/W2964040984","https://openalex.org/W2964173634","https://openalex.org/W2964267515","https://openalex.org/W3016211260","https://openalex.org/W3140009346","https://openalex.org/W4302570567"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2185469136","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370"],"abstract_inverted_index":{"Understanding":[0],"and":[1,46,64,73,81,100,111],"reasoning":[2,65],"about":[3],"cooking":[4,30],"recipes":[5,38],"is":[6],"a":[7,24,60,96],"fruitful":[8],"research":[9],"direction":[10],"towards":[11],"enabling":[12],"machines":[13],"to":[14],"interpret":[15],"procedural":[16,85],"text.":[17],"In":[18],"this":[19],"work,":[20],"we":[21,58],"introduce":[22],"RecipeQA,":[23],"dataset":[25],"for":[26,104],"multimodal":[27],"comprehension":[28,63,107],"of":[29,34,49,62,71,79,84],"recipes.":[31],"It":[32],"comprises":[33],"approximately":[35],"20K":[36],"instructional":[37],"with":[39],"multiple":[40],"modalities":[41],"such":[42],"as":[43,95],"titles,":[44],"descriptions":[45],"aligned":[47],"set":[48,61],"images.":[50],"With":[51],"over":[52],"36K":[53],"automatically":[54],"generated":[55],"question-answer":[56],"pairs,":[57],"design":[59],"tasks":[66],"that":[67,91],"require":[68],"joint":[69],"understanding":[70],"images":[72],"text,":[74],"capturing":[75],"the":[76],"temporal":[77],"flow":[78],"events":[80],"making":[82],"sense":[83],"knowledge.":[86],"Our":[87],"preliminary":[88],"results":[89],"indicate":[90],"RecipeQA":[92],"will":[93],"serve":[94],"challenging":[97],"test":[98],"bed":[99],"an":[101],"ideal":[102],"benchmark":[103],"evaluating":[105],"machine":[106],"systems.":[108],"The":[109],"data":[110],"leaderboard":[112],"are":[113],"available":[114],"at":[115],"http://hucvl.github.io/recipeqa.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":11}],"updated_date":"2026-01-26T23:06:41.788003","created_date":"2025-10-10T00:00:00"}
