{"id":"https://openalex.org/W1967702788","doi":"https://doi.org/10.1109/slt.2014.7078635","title":"Data collection and language understanding of food descriptions","display_name":"Data collection and language understanding of food descriptions","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1967702788","doi":"https://doi.org/10.1109/slt.2014.7078635","mag":"1967702788"},"language":"en","primary_location":{"id":"doi:10.1109/slt.2014.7078635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2014.7078635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Spoken Language Technology Workshop (SLT)","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/A5013714205","display_name":"Mandy Korpusik","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mandy Korpusik","raw_affiliation_strings":["MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA","MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA, 02139, USA"],"affiliations":[{"raw_affiliation_string":"MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA","institution_ids":[]},{"raw_affiliation_string":"MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA, 02139, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023601943","display_name":"Nicole Schmidt","orcid":"https://orcid.org/0000-0002-5395-2844"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicole Schmidt","raw_affiliation_strings":["MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA","MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA, 02139, USA"],"affiliations":[{"raw_affiliation_string":"MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA","institution_ids":[]},{"raw_affiliation_string":"MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA, 02139, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047280966","display_name":"Jennifer Drexler","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Drexler","raw_affiliation_strings":["MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA","MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA, 02139, USA"],"affiliations":[{"raw_affiliation_string":"MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA","institution_ids":[]},{"raw_affiliation_string":"MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA, 02139, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052585866","display_name":"Scott Cyphers","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Cyphers","raw_affiliation_strings":["MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA","MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA, 02139, USA"],"affiliations":[{"raw_affiliation_string":"MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA","institution_ids":[]},{"raw_affiliation_string":"MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA, 02139, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112758056","display_name":"James Glass","orcid":"https://orcid.org/0000-0002-3097-360X"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Glass","raw_affiliation_strings":["MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA","MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA, 02139, USA"],"affiliations":[{"raw_affiliation_string":"MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA","institution_ids":[]},{"raw_affiliation_string":"MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA, 02139, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013714205"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":2.8631,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.91593643,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"560","last_page":"565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9970999956130981,"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":0.9970999956130981,"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":0.9944000244140625,"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/T12031","display_name":"Speech and dialogue systems","score":0.980400025844574,"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/conditional-random-field","display_name":"Conditional random field","score":0.7350373268127441},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7184373736381531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6520726680755615},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.601730227470398},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5820537805557251},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5671697854995728},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5233777761459351},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49240386486053467},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.49221959710121155},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.48806798458099365},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4543343186378479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43293461203575134},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.41904836893081665},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4138324558734894},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.17583128809928894},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14009824395179749},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10127493739128113}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7350373268127441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7184373736381531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6520726680755615},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.601730227470398},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5820537805557251},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5671697854995728},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5233777761459351},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49240386486053467},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.49221959710121155},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.48806798458099365},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4543343186378479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43293461203575134},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.41904836893081665},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4138324558734894},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.17583128809928894},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14009824395179749},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10127493739128113},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/slt.2014.7078635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2014.7078635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W22168010","https://openalex.org/W200335640","https://openalex.org/W1508977358","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1766290689","https://openalex.org/W1932968309","https://openalex.org/W2023384780","https://openalex.org/W2094472029","https://openalex.org/W2139727647","https://openalex.org/W2158188757","https://openalex.org/W2395389931","https://openalex.org/W2396251197","https://openalex.org/W2399456070","https://openalex.org/W6600880057","https://openalex.org/W6637989529","https://openalex.org/W6683226453","https://openalex.org/W6711536258","https://openalex.org/W6712249138"],"related_works":["https://openalex.org/W2126747775","https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W2095844239","https://openalex.org/W2092834568","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W2033608689","https://openalex.org/W4387506531"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"initial":[3],"data":[4,38],"collection":[5,39],"and":[6,40,94],"language":[7],"understanding":[8],"experiments":[9,55,76],"conducted":[10],"as":[11],"part":[12],"of":[13,42,69,107],"a":[14,19,29,57,88,95],"larger":[15],"effort":[16],"to":[17],"create":[18],"nutrition":[20],"dialogue":[21],"system":[22],"that":[23,63,77],"automatically":[24],"extracts":[25],"food":[26,43,74],"concepts":[27],"from":[28],"user's":[30],"spoken":[31],"meal":[32],"description.":[33],"We":[34,50],"first":[35],"summarize":[36],"the":[37],"annotation":[41],"descriptions":[44],"performed":[45,100],"via":[46],"Amazon":[47],"Mechanical":[48],"Turk.":[49],"then":[51],"present":[52],"semantic":[53],"labeling":[54],"using":[56],"semi-Markov":[58],"conditional":[59],"random":[60],"field":[61],"(CRF)":[62],"obtains":[64],"an":[65,103],"F1":[66,104],"test":[67,105],"score":[68,106],"85.1.":[70],"Finally,":[71],"we":[72],"report":[73],"segmentation":[75],"explored":[78],"three":[79],"methods":[80],"for":[81],"associating":[82],"foods":[83],"with":[84],"their":[85],"corresponding":[86],"attributes:":[87],"generative":[89],"Markov":[90],"model,":[91],"transformation-based":[92],"learning,":[93],"CRF":[96,99],"classifier.":[97],"The":[98],"best,":[101],"achieving":[102],"87.1.":[108]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
