{"id":"https://openalex.org/W3147276653","doi":"https://doi.org/10.1109/slt48900.2021.9383508","title":"A New Dataset for Natural Language Understanding of Exercise Logs in a Food and Fitness Spoken Dialogue System","display_name":"A New Dataset for Natural Language Understanding of Exercise Logs in a Food and Fitness Spoken Dialogue System","publication_year":2021,"publication_date":"2021-01-19","ids":{"openalex":"https://openalex.org/W3147276653","doi":"https://doi.org/10.1109/slt48900.2021.9383508","mag":"3147276653"},"language":"en","primary_location":{"id":"doi:10.1109/slt48900.2021.9383508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt48900.2021.9383508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5090504961","display_name":"Maya Epps","orcid":null},"institutions":[{"id":"https://openalex.org/I35566140","display_name":"Loyola Marymount University","ror":"https://ror.org/00xhj8c72","country_code":"US","type":"education","lineage":["https://openalex.org/I35566140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maya Epps","raw_affiliation_strings":["Loyola Marymount University, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Loyola Marymount University, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I35566140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057232187","display_name":"Juan Pedro Uribe","orcid":null},"institutions":[{"id":"https://openalex.org/I35566140","display_name":"Loyola Marymount University","ror":"https://ror.org/00xhj8c72","country_code":"US","type":"education","lineage":["https://openalex.org/I35566140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juan Uribe","raw_affiliation_strings":["Loyola Marymount University, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Loyola Marymount University, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I35566140"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013714205","display_name":"Mandy Korpusik","orcid":null},"institutions":[{"id":"https://openalex.org/I35566140","display_name":"Loyola Marymount University","ror":"https://ror.org/00xhj8c72","country_code":"US","type":"education","lineage":["https://openalex.org/I35566140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mandy Korpusik","raw_affiliation_strings":["Loyola Marymount University, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Loyola Marymount University, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I35566140"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.04209394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1071","last_page":"1078"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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":0.9993000030517578,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9922000169754028,"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":0.9918000102043152,"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":0.7421212196350098},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7076933979988098},{"id":"https://openalex.org/keywords/crfs","display_name":"CRFS","score":0.567811131477356},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5046471357345581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48219719529151917},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.46196338534355164},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.4438958466053009},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4367187023162842},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4185822606086731},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4112711250782013},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37075498700141907},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.29262906312942505},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.12268897891044617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7421212196350098},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7076933979988098},{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.567811131477356},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5046471357345581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48219719529151917},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.46196338534355164},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.4438958466053009},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4367187023162842},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4185822606086731},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4112711250782013},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37075498700141907},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29262906312942505},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.12268897891044617}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/slt48900.2021.9383508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt48900.2021.9383508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1444168786","https://openalex.org/W1569123402","https://openalex.org/W1967702788","https://openalex.org/W2024632416","https://openalex.org/W2034190452","https://openalex.org/W2094472029","https://openalex.org/W2098921539","https://openalex.org/W2137871902","https://openalex.org/W2250539671","https://openalex.org/W2341345999","https://openalex.org/W2399456070","https://openalex.org/W2404910842","https://openalex.org/W2473329891","https://openalex.org/W2493916176","https://openalex.org/W2593614619","https://openalex.org/W2761434131","https://openalex.org/W2801667291","https://openalex.org/W2803392141","https://openalex.org/W2894164357","https://openalex.org/W2896457183","https://openalex.org/W2905450837","https://openalex.org/W2939340648","https://openalex.org/W2946245082","https://openalex.org/W2951299559","https://openalex.org/W2962739339","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963804775","https://openalex.org/W2963974889","https://openalex.org/W2965373594","https://openalex.org/W2970597249","https://openalex.org/W2972566716","https://openalex.org/W2990443371","https://openalex.org/W2996428491","https://openalex.org/W3035160371","https://openalex.org/W3116739753","https://openalex.org/W3180562345","https://openalex.org/W4385245566","https://openalex.org/W6628505203","https://openalex.org/W6633966005","https://openalex.org/W6712249138","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6763701032","https://openalex.org/W6764685693","https://openalex.org/W6766673545","https://openalex.org/W6768021236","https://openalex.org/W6770191779","https://openalex.org/W6775876232"],"related_works":["https://openalex.org/W50079190","https://openalex.org/W2356597680","https://openalex.org/W182104056","https://openalex.org/W2111726165","https://openalex.org/W2011251309","https://openalex.org/W2511246383","https://openalex.org/W3108423214","https://openalex.org/W2796133761","https://openalex.org/W3088215229","https://openalex.org/W2184553228"],"abstract_inverted_index":{"Health":[0],"and":[1,90,153,168,194],"fitness":[2],"are":[3,22],"becoming":[4],"increasingly":[5],"important":[6],"in":[7,18,53,187],"the":[8,14,19,57,61,93,115,177,183,188],"United":[9],"States,":[10],"as":[11,24,28,30,84,97,99],"illustrated":[12],"by":[13],"70%":[15],"of":[16,74,102],"adults":[17],"U.S.":[20],"that":[21],"classified":[23],"overweight":[25],"or":[26,88,124],"obese,":[27],"well":[29,98],"globally,":[31],"where":[32],"obesity":[33],"nearly":[34],"tripled":[35],"since":[36],"1975.":[37],"Prior":[38],"work":[39],"used":[40],"convolutional":[41],"neural":[42,155],"networks":[43,156],"(CNNs)":[44],"to":[45,55,92,111,171,182],"understand":[46],"a":[47,64,71,100,107,122,133,160],"spoken":[48],"sentence":[49],"describing":[50],"one's":[51],"meal,":[52],"order":[54],"expedite":[56],"meal-logging":[58],"process.":[59],"However,":[60],"system":[62],"lacked":[63],"complementary":[65],"exercise-logging":[66,78],"component.":[67],"We":[68,113],"have":[69],"created":[70],"new":[72],"dataset":[73],"3,000":[75],"natural":[76],"language":[77],"sentences.":[79],"Each":[80],"token":[81],"was":[82],"tagged":[83,166],"an":[85],"Exercise,":[86],"Feeling,":[87],"Other,":[89],"mapped":[91],"most":[94],"relevant":[95],"exercise,":[96],"score":[101],"how":[103,176],"they":[104,185],"felt":[105,179],"on":[106,132,159],"scale":[108],"from":[109],"1":[110],"10.":[112],"demonstrate":[114],"following:":[116],"for":[117,137],"intent":[118],"detection":[119],"(i.e.,":[120],"logging":[121],"meal":[123],"exercise),":[125],"logistic":[126],"regression":[127],"achieves":[128],"over":[129],"99%":[130],"accuracy":[131],"held-out":[134],"test":[135],"set;":[136],"semantic":[138],"tagging,":[139],"contextual":[140],"embedding":[141],"models":[142,151],"achieve":[143],"93%":[144],"F1":[145],"score,":[146],"outperforming":[147],"conditional":[148],"random":[149],"field":[150],"(CRFs);":[152],"recurrent":[154],"(RNNs)":[157],"trained":[158],"multiclass":[161],"classification":[162],"task":[163],"successfully":[164],"map":[165],"exercise":[167],"feeling":[169],"segments":[170],"database":[172],"matches.":[173],"By":[174],"connecting":[175],"user":[178],"while":[180],"exercising":[181],"food":[184],"ate,":[186],"future":[189],"we":[190],"may":[191],"provide":[192],"personalized":[193],"dynamic":[195],"diet":[196],"recommendations.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
