{"id":"https://openalex.org/W1972647231","doi":"https://doi.org/10.1145/2506023.2506035","title":"Extraction of ingredient names from recipes by combining linguistic annotations and CRF selection","display_name":"Extraction of ingredient names from recipes by combining linguistic annotations and CRF selection","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W1972647231","doi":"https://doi.org/10.1145/2506023.2506035","mag":"1972647231"},"language":"en","primary_location":{"id":"doi:10.1145/2506023.2506035","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2506023.2506035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th international workshop on Multimedia for cooking & eating activities - CEA '13","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014683954","display_name":"Thierry Hamon","orcid":"https://orcid.org/0000-0002-1521-4875"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Thierry Hamon","raw_affiliation_strings":["LIM&BIO (EA3969), Universit\u00e9 Paris 13, Sorbonne Paris Cit\u00e9, Bobigny, France"],"affiliations":[{"raw_affiliation_string":"LIM&BIO (EA3969), Universit\u00e9 Paris 13, Sorbonne Paris Cit\u00e9, Bobigny, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210091279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007781745","display_name":"Natalia Grabar","orcid":"https://orcid.org/0000-0002-0237-4554"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Natalia Grabar","raw_affiliation_strings":["CNRS UMR 8163 STL, Universit\u00e9 Lille 1&3, Villeneuve d'Ascq, France","CNRS UMR 8163 STL; Universit\u00e9 Lille 1&3, Villeneuve d\u2019Ascq, France"],"affiliations":[{"raw_affiliation_string":"CNRS UMR 8163 STL, Universit\u00e9 Lille 1&3, Villeneuve d'Ascq, France","institution_ids":["https://openalex.org/I2279609970","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CNRS UMR 8163 STL; Universit\u00e9 Lille 1&3, Villeneuve d\u2019Ascq, France","institution_ids":["https://openalex.org/I2279609970","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014683954"],"corresponding_institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210091279"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05634666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"63","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9951000213623047,"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":0.9951000213623047,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9779999852180481,"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":0.9599999785423279,"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/ingredient","display_name":"Ingredient","score":0.7212221622467041},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6964799165725708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6799126267433167},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6655228734016418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6074289679527283},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4912371039390564},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4551222324371338},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45337364077568054},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.43384069204330444},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3852725625038147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10858839750289917},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09259694814682007},{"id":"https://openalex.org/keywords/food-science","display_name":"Food science","score":0.08783790469169617},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07837134599685669}],"concepts":[{"id":"https://openalex.org/C2780589914","wikidata":"https://www.wikidata.org/wiki/Q10675206","display_name":"Ingredient","level":2,"score":0.7212221622467041},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6964799165725708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6799126267433167},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6655228734016418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6074289679527283},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4912371039390564},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4551222324371338},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45337364077568054},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.43384069204330444},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3852725625038147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10858839750289917},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09259694814682007},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.08783790469169617},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07837134599685669},{"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":"doi:10.1145/2506023.2506035","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2506023.2506035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th international workshop on Multimedia for cooking & eating activities - CEA '13","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1491622225","https://openalex.org/W1849984936","https://openalex.org/W1985591457","https://openalex.org/W2001961665","https://openalex.org/W2004783195","https://openalex.org/W2039038423","https://openalex.org/W2073415382","https://openalex.org/W2124420561","https://openalex.org/W2147880316","https://openalex.org/W2160986985","https://openalex.org/W2166490941","https://openalex.org/W2314603079","https://openalex.org/W2582219117","https://openalex.org/W2617804294","https://openalex.org/W3103095347","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2601588961","https://openalex.org/W2122305935","https://openalex.org/W2140558680","https://openalex.org/W2108483185","https://openalex.org/W2026012584","https://openalex.org/W2123409753","https://openalex.org/W2038169101","https://openalex.org/W2055131981","https://openalex.org/W2295141588","https://openalex.org/W1964849977","https://openalex.org/W2131449610","https://openalex.org/W2124323636","https://openalex.org/W2157104236","https://openalex.org/W2131337280","https://openalex.org/W2104049393","https://openalex.org/W2202210819","https://openalex.org/W3138340167","https://openalex.org/W2886790319","https://openalex.org/W265841156","https://openalex.org/W197270748"],"abstract_inverted_index":{"Nutrition":[0],"and":[1,5,11,24,30,62,99,107,140],"diet":[2],"have":[3,75],"direct":[4],"considerable":[6],"impact":[7],"on":[8,56],"our":[9],"well-being":[10],"health.":[12],"This":[13],"field":[14],"attracts":[15],"researchers":[16],"from":[17],"different":[18],"areas,":[19],"such":[20],"as":[21],"medicine,":[22],"nutrition":[23],"epidemiology,":[25],"computer":[26],"sciences,":[27],"artificial":[28],"intelligence":[29],"natural":[31],"language":[32],"processing":[33,80],"(NLP).We":[34],"process":[35],"the":[36,60,65,133,142],"recipes":[37,61],"with":[38,69,112,125],"NLP":[39],"methods":[40],"in":[41,89,95,104],"order":[42],"to":[43],"automatically":[44],"identify":[45],"ingredient":[46,67],"names":[47,68],"within":[48],"recipes.":[49,143],"We":[50],"propose":[51],"a":[52,70],"hybrid":[53],"system":[54],"based":[55],"linguistic":[57],"enrichment":[58],"of":[59,64,83],"selection":[63],"relevant":[66],"CRF":[71],"method.":[72],"Semantic":[73],"resources":[74],"been":[76],"specifically":[77],"built":[78],"for":[79,138],"two":[81],"kinds":[82],"information:":[84],"exact":[85],"(e.g.":[86,101],"quantity":[87],"expressed":[88,94,103],"grams":[90],"or":[91,97],"liters,":[92],"durations":[93,110],"minutes":[96],"days)":[98],"fuzzy":[100],"quantities":[102],"chouilla":[105],"(smidgeon)":[106],"louche":[108],"(ladle),":[109],"sequenced":[111],"apr\u00e8es,":[113],"ensuite,":[114],"alors":[115],"que":[116],"(the,":[117],"after":[118],"that,":[119],"while)).":[120],"The":[121,129],"experiments":[122],"are":[123],"performed":[124],"French-language":[126],"textual":[127],"data.":[128],"results":[130],"demonstrate":[131],"that":[132],"proposed":[134],"method":[135],"is":[136],"useful":[137],"searching":[139],"managing":[141]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}