{"id":"https://openalex.org/W3006083204","doi":"https://doi.org/10.1109/access.2020.2973502","title":"A Survey of Named-Entity Recognition Methods for Food Information Extraction","display_name":"A Survey of Named-Entity Recognition Methods for Food Information Extraction","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3006083204","doi":"https://doi.org/10.1109/access.2020.2973502","mag":"3006083204"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2973502","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2973502","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2020.2973502","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073134795","display_name":"Gorjan Popovski","orcid":"https://orcid.org/0000-0001-9091-4735"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]},{"id":"https://openalex.org/I4210113529","display_name":"Jo\u017eef Stefan International Postgraduate School","ror":"https://ror.org/01hdkb925","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210113529"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Gorjan Popovski","raw_affiliation_strings":["Computer Systems Department, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","Jo\u017eef Stefan International Postgraduate School, Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"raw_orcid":"https://orcid.org/0000-0001-9091-4735","affiliations":[{"raw_affiliation_string":"Computer Systems Department, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]},{"raw_affiliation_string":"Jo\u017eef Stefan International Postgraduate School, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I4210113529"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076065873","display_name":"Barbara Korou\u0161i\u0107 Seljak","orcid":"https://orcid.org/0000-0001-7597-2590"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Barbara Korousic Seljak","raw_affiliation_strings":["Computer Systems Department, Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Systems Department, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082115266","display_name":"Tome Eftimov","orcid":"https://orcid.org/0000-0001-7330-1902"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Tome Eftimov","raw_affiliation_strings":["Computer Systems Department, Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"raw_orcid":"https://orcid.org/0000-0001-7330-1902","affiliations":[{"raw_affiliation_string":"Computer Systems Department, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.5801,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.94047657,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"31586","last_page":"31594"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.996999979019165,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9912999868392944,"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/computer-science","display_name":"Computer science","score":0.843679666519165},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.8045516014099121},{"id":"https://openalex.org/keywords/snomed-ct","display_name":"SNOMED CT","score":0.6787471175193787},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.6616635322570801},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6309898495674133},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5636444091796875},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5519279837608337},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.508188009262085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.490548312664032},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3383781313896179},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3245573043823242},{"id":"https://openalex.org/keywords/terminology","display_name":"Terminology","score":0.10835424065589905},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.0745256245136261}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.843679666519165},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.8045516014099121},{"id":"https://openalex.org/C206497026","wikidata":"https://www.wikidata.org/wiki/Q1753883","display_name":"SNOMED CT","level":3,"score":0.6787471175193787},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.6616635322570801},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6309898495674133},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5636444091796875},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5519279837608337},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.508188009262085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.490548312664032},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3383781313896179},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3245573043823242},{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.10835424065589905},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0745256245136261},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.2973502","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2973502","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:db8b5860abbf49afb7bfddcc000f5202","is_oa":true,"landing_page_url":"https://doaj.org/article/db8b5860abbf49afb7bfddcc000f5202","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 31586-31594 (2020)","raw_type":"article"},{"id":"pmh:oai:zenodo.org:6951899","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8995569","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, 8, 31586-31594, (2020-02-12)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2973502","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2973502","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G4532220648","display_name":"Food Nutrition Security Cloud","funder_award_id":"863059","funder_id":"https://openalex.org/F4320338343","funder_display_name":"H2020 Food"},{"id":"https://openalex.org/G7845820193","display_name":"Supporting Active Ageing through Multimodal coaching","funder_award_id":"769661","funder_id":"https://openalex.org/F4320338342","funder_display_name":"H2020 Health"},{"id":"https://openalex.org/G791504897","display_name":"Computer Structures and Systems","funder_award_id":"P2-0098","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"}],"funders":[{"id":"https://openalex.org/F4320322554","display_name":"Javna Agencija za Raziskovalno Dejavnost RS","ror":"https://ror.org/059bp8k51"},{"id":"https://openalex.org/F4320338342","display_name":"H2020 Health","ror":null},{"id":"https://openalex.org/F4320338343","display_name":"H2020 Food","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1019512417","https://openalex.org/W1480376833","https://openalex.org/W1490304187","https://openalex.org/W1574901103","https://openalex.org/W1578843544","https://openalex.org/W1940872118","https://openalex.org/W1956471287","https://openalex.org/W2020278455","https://openalex.org/W2099908986","https://openalex.org/W2104148262","https://openalex.org/W2131660156","https://openalex.org/W2137079713","https://openalex.org/W2141869602","https://openalex.org/W2145386458","https://openalex.org/W2163068967","https://openalex.org/W2215206286","https://openalex.org/W2296283641","https://openalex.org/W2404369708","https://openalex.org/W2592418872","https://openalex.org/W2604652676","https://openalex.org/W2682408236","https://openalex.org/W2711122919","https://openalex.org/W2727926256","https://openalex.org/W2734608416","https://openalex.org/W2793265220","https://openalex.org/W2794711763","https://openalex.org/W2903158431","https://openalex.org/W2908840510","https://openalex.org/W2916355958","https://openalex.org/W2920863254","https://openalex.org/W2920887996","https://openalex.org/W2925613093","https://openalex.org/W2940606106","https://openalex.org/W2963682821","https://openalex.org/W2967420951","https://openalex.org/W2986127174","https://openalex.org/W2989322016","https://openalex.org/W4236122429","https://openalex.org/W4400177176","https://openalex.org/W6629385236","https://openalex.org/W6640362995","https://openalex.org/W6713634263","https://openalex.org/W6734233010","https://openalex.org/W6736514301","https://openalex.org/W6749633638","https://openalex.org/W6760184756","https://openalex.org/W6770956412","https://openalex.org/W6870634631"],"related_works":["https://openalex.org/W2916255597","https://openalex.org/W2983934248","https://openalex.org/W1605730749","https://openalex.org/W3146821131","https://openalex.org/W3093912612","https://openalex.org/W3091569222","https://openalex.org/W2999302224","https://openalex.org/W1495833002","https://openalex.org/W2075635421","https://openalex.org/W3006227201"],"abstract_inverted_index":{"As":[0],"great":[1],"amounts":[2],"of":[3,11,49,61,78,93,121],"food-related":[4],"information":[5,44,95],"is":[6,29,131,147],"presented":[7],"in":[8,40,55,82],"the":[9,47,56,59,83,132,141,144,157],"form":[10],"heterogeneous":[12],"textual":[13],"data,":[14],"computer-based":[15],"methods":[16,35,54,81,99,162],"are":[17,37,100],"useful":[18],"to":[19,26,30,156],"automatically":[20],"extract":[21],"such":[22],"information.":[23],"One":[24],"way":[25],"do":[27],"this":[28,69],"utilize":[31],"Named-Entity":[32],"Recognition":[33],"(NER)":[34],"that":[36,119,149],"broadly":[38],"used":[39,89],"computer":[41],"science":[42,63],"for":[43,90],"extraction.":[45],"Despite":[46],"existence":[48],"numerous":[50],"and":[51,75,108],"well-versed":[52],"NER":[53],"biomedical":[57],"domain,":[58,85],"domain":[60],"food":[62,84,94,159],"still":[64],"remains":[65],"scarcely":[66],"resourced.":[67],"In":[68],"paper,":[70],"we":[71],"provide":[72],"an":[73],"overview":[74],"a":[76,115],"comparison":[77],"named-entity":[79,160],"recognition":[80,161],"which":[86,130],"can":[87],"be":[88],"automated":[91],"extraction":[92],"from":[96,128,143],"text.":[97],"Four":[98],"discussed:":[101],"FoodIE,":[102],"NCBO":[103,106,109],"(SNOMED":[104],"CT),":[105],"(OntoFood),":[107],"(FoodON).":[110],"We":[111],"compare":[112],"them":[113],"using":[114],"benchmark":[116],"data":[117],"set":[118],"consists":[120],"1000":[122],"manually":[123],"annotated":[124],"recipes":[125],"initially":[126],"obtained":[127],"Allrecipes,":[129],"largest":[133],"social":[134],"network":[135],"focused":[136],"on":[137],"food.":[138],"After":[139],"analysing":[140],"results":[142,154],"evaluation,":[145],"it":[146],"evident":[148],"FoodIE":[150],"obtains":[151],"very":[152],"promising":[153],"compared":[155],"other":[158],"taken":[163],"into":[164],"consideration.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
