{"id":"https://openalex.org/W3136048214","doi":"https://doi.org/10.1109/bigdata50022.2020.9378151","title":"BuTTER: BidirecTional LSTM for Food Named-Entity Recognition","display_name":"BuTTER: BidirecTional LSTM for Food Named-Entity Recognition","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3136048214","doi":"https://doi.org/10.1109/bigdata50022.2020.9378151","mag":"3136048214"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/BigData50022.2020.9378151","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066396028","display_name":"Gjorgjina Cenikj","orcid":"https://orcid.org/0000-0002-2723-0821"},"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":"Gjorgjina Cenikj","raw_affiliation_strings":["Computer Systems Department, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","Jo\u017eef Stefan International Postgraduate School, Ljubljana, Slovenia"],"raw_orcid":null,"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, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I4210113529"]}]},{"author_position":"middle","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, Ljubljana, Slovenia"],"raw_orcid":null,"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, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I4210113529"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085234316","display_name":"Riste Stojanov","orcid":"https://orcid.org/0000-0003-2067-3467"},"institutions":[{"id":"https://openalex.org/I76245029","display_name":"Ss. Cyril and Methodius University in Skopje","ror":"https://ror.org/02wk2vx54","country_code":"MK","type":"education","lineage":["https://openalex.org/I76245029"]}],"countries":["MK"],"is_corresponding":false,"raw_author_name":"Riste Stojanov","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, North Macedonia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, North Macedonia","institution_ids":["https://openalex.org/I76245029"]}]},{"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":null,"affiliations":[{"raw_affiliation_string":"Computer Systems Department, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3550","last_page":"3556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9876000285148621,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9542999863624573,"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":0.8129177689552307},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.8114807605743408},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7270591259002686},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.6505439877510071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6462836265563965},{"id":"https://openalex.org/keywords/structuring","display_name":"Structuring","score":0.6115851998329163},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5536115765571594},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5206522345542908},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.48711705207824707},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4768218398094177},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47486042976379395},{"id":"https://openalex.org/keywords/conjunction","display_name":"Conjunction (astronomy)","score":0.46024176478385925},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4561265707015991},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4341110289096832},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4272443354129791},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4053970277309418},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37039995193481445},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21278056502342224},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.08597895503044128}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8129177689552307},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.8114807605743408},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7270591259002686},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.6505439877510071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6462836265563965},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.6115851998329163},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5536115765571594},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5206522345542908},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.48711705207824707},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4768218398094177},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47486042976379395},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.46024176478385925},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4561265707015991},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4341110289096832},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4272443354129791},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4053970277309418},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37039995193481445},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21278056502342224},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.08597895503044128},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9378151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:6953691","is_oa":true,"landing_page_url":"https://doi.org/10.1109/BigData50022.2020.9378151","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:6953691","is_oa":true,"landing_page_url":"https://doi.org/10.1109/BigData50022.2020.9378151","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W109977854","https://openalex.org/W1034374084","https://openalex.org/W1538085078","https://openalex.org/W1578843544","https://openalex.org/W1679133234","https://openalex.org/W1940872118","https://openalex.org/W2099908986","https://openalex.org/W2112227057","https://openalex.org/W2141869602","https://openalex.org/W2166240318","https://openalex.org/W2420270195","https://openalex.org/W2518463060","https://openalex.org/W2682408236","https://openalex.org/W2752413620","https://openalex.org/W2800535933","https://openalex.org/W2857028992","https://openalex.org/W2890830728","https://openalex.org/W2899520300","https://openalex.org/W2905315292","https://openalex.org/W2911489562","https://openalex.org/W2920887996","https://openalex.org/W2949176808","https://openalex.org/W2963339489","https://openalex.org/W2981467602","https://openalex.org/W2982149480","https://openalex.org/W2986127174","https://openalex.org/W2987875462","https://openalex.org/W3002881589","https://openalex.org/W3004047707","https://openalex.org/W3006083204","https://openalex.org/W3010660934","https://openalex.org/W3013678667","https://openalex.org/W3017774323","https://openalex.org/W3021887096","https://openalex.org/W3041583324","https://openalex.org/W3043747042","https://openalex.org/W3047337351","https://openalex.org/W3083683925","https://openalex.org/W3086388855","https://openalex.org/W3089102179","https://openalex.org/W3105491236","https://openalex.org/W3150039627","https://openalex.org/W3173520982","https://openalex.org/W4400177176","https://openalex.org/W6604413442","https://openalex.org/W6640362995","https://openalex.org/W6717523184","https://openalex.org/W6744038767","https://openalex.org/W6752909555","https://openalex.org/W6837600762","https://openalex.org/W6870634631"],"related_works":["https://openalex.org/W4250494529","https://openalex.org/W1964783010","https://openalex.org/W2399696375","https://openalex.org/W45206245","https://openalex.org/W2211396092","https://openalex.org/W11196620","https://openalex.org/W4305041692","https://openalex.org/W2078793151","https://openalex.org/W2061834489","https://openalex.org/W2751906762"],"abstract_inverted_index":{"In":[0,41],"the":[1,9,47,78,85,96,127,146,149],"modern":[2],"era":[3],"of":[4,8,18,49,80,131,148,158],"big":[5],"data,":[6,133],"one":[7],"biggest":[10],"challenges":[11],"is":[12,66,84,103,135],"to":[13,137],"find":[14],"an":[15,153],"efficient":[16],"way":[17],"extracting":[19,71],"information":[20,72],"from":[21,73,142],"unstructured":[22,74],"data":[23],"and":[24,34,39,51,118],"structuring":[25],"it":[26],"in":[27,70,111],"a":[28,55,67],"form":[29],"that":[30,91],"can":[31],"be":[32],"interpreted":[33],"utilized":[35],"by":[36,53,95],"both":[37],"humans":[38],"computers.":[40],"this":[42,83],"paper,":[43],"we":[44],"focus":[45],"on":[46,105],"domain":[48],"food":[50,88,140],"nutrition":[52],"introducing":[54],"Machine":[56],"Learning":[57,120],"(ML)":[58],"based":[59,104],"Named":[60],"Entity":[61],"Recognition":[62],"(NER)":[63],"method,":[64],"which":[65],"crucial":[68],"step":[69],"textual":[75],"data.":[76],"To":[77],"best":[79,147],"our":[81],"knowledge,":[82],"first":[86],"corpus-based":[87],"NER":[89],"method":[90,102],"has":[92],"been":[93],"enabled":[94],"recently":[97],"published":[98],"FoodBase":[99],"corpus.":[100],"The":[101],"Bidirectional":[106],"Long":[107],"Short-Term":[108],"Memory":[109],"(BiLSTM)":[110],"conjunction":[112],"with":[113,145],"Conditional":[114],"Random":[115],"Fields":[116],"(CRF)":[117],"Representation":[119],"(RL).":[121],"Our":[122],"experiments":[123],"show":[124],"that,":[125],"despite":[126],"relatively":[128],"small":[129],"amount":[130],"annotated":[132],"BuTTER":[134],"able":[136],"successfully":[138],"identify":[139],"entities":[141],"raw":[143],"text,":[144],"proposed":[150],"models":[151],"achieving":[152],"average":[154],"macro":[155],"F1":[156],"score":[157],"0.946.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
