{"id":"https://openalex.org/W2396928039","doi":"https://doi.org/10.21437/interspeech.2014-64","title":"Targeted feature dropout for robust slot filling in natural language understanding","display_name":"Targeted feature dropout for robust slot filling in natural language understanding","publication_year":2014,"publication_date":"2014-09-14","ids":{"openalex":"https://openalex.org/W2396928039","doi":"https://doi.org/10.21437/interspeech.2014-64","mag":"2396928039"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2014-64","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2014-64","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2014","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/A5113753678","display_name":"Puyang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Puyang Xu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072875068","display_name":"Ruhi Sarikaya","orcid":"https://orcid.org/0000-0003-2676-2831"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ruhi Sarikaya","raw_affiliation_strings":["(Microsoft)"],"affiliations":[{"raw_affiliation_string":"(Microsoft)","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113753678"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8057,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.94126438,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"258","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9966999888420105,"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":0.853124737739563},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.8006324768066406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8003635406494141},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6860728859901428},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6075688004493713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5964191555976868},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5886399745941162},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.5337396860122681},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4550940692424774},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.41566699743270874},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39517635107040405},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3581899404525757},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1419081687927246}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.853124737739563},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.8006324768066406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003635406494141},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6860728859901428},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6075688004493713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5964191555976868},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5886399745941162},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.5337396860122681},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4550940692424774},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.41566699743270874},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39517635107040405},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3581899404525757},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1419081687927246},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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":2,"locations":[{"id":"doi:10.21437/interspeech.2014-64","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2014-64","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2014","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.643.1544","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.643.1544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.clsp.jhu.edu/~puyang/papers/fdrop_slot.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1544444001","https://openalex.org/W1904365287","https://openalex.org/W1979711143","https://openalex.org/W2100341991","https://openalex.org/W2104867159","https://openalex.org/W2109094355","https://openalex.org/W2111406701","https://openalex.org/W2147880316","https://openalex.org/W2152722485","https://openalex.org/W2158542502","https://openalex.org/W2160469620","https://openalex.org/W2250968750"],"related_works":["https://openalex.org/W3082178636","https://openalex.org/W2356597680","https://openalex.org/W2125652721","https://openalex.org/W2093471820","https://openalex.org/W1540371141","https://openalex.org/W2754427584","https://openalex.org/W3012125532","https://openalex.org/W3047727388","https://openalex.org/W2067622664","https://openalex.org/W2937192905"],"abstract_inverted_index":{"In":[0,54],"slot":[1,112],"filling":[2],"with":[3,81],"conditional":[4],"random":[5],"field":[6],"(CRF),":[7],"the":[8,18,49,66,74,85,91,108],"strong":[9],"current":[10],"word":[11],"and":[12,41,61],"dictionary":[13],"features":[14],"tend":[15],"to":[16],"swamp":[17],"effect":[19],"of":[20,48],"contextual":[21],"features,":[22],"a":[23,32,59],"phenomenon":[24],"also":[25],"known":[26],"as":[27],"fea-ture":[28],"undertraining.":[29],"This":[30],"is":[31,39],"dangerous":[33],"tradeoff":[34],"especially":[35],"when":[36],"training":[37],"data":[38],"small":[40],"dictionaries":[42],"are":[43,102],"limited":[44],"in":[45,107],"their":[46],"cov-erage":[47],"entities":[50],"observed":[51],"during":[52],"testing.":[53],"this":[55],"paper,":[56],"we":[57],"propose":[58],"simple":[60],"effective":[62],"solution":[63],"that":[64,84,101],"extends":[65],"feature":[67,114],"dropout":[68],"algorithm,":[69],"directly":[70],"aiming":[71],"at":[72],"boosting":[73],"contribution":[75],"from":[76],"entity":[77],"context.":[78],"We":[79],"show":[80],"extensive":[82],"experiments":[83],"proposed":[86],"technique":[87],"can":[88],"significantly":[89],"improve":[90],"robustness":[92],"against":[93],"unseen":[94],"entities,":[95],"without":[96],"degrading":[97],"performance":[98],"on":[99],"enti-ties":[100],"either":[103],"seen":[104],"or":[105],"exist":[106],"dictionary.":[109],"Index":[110],"Terms:":[111],"filling,":[113],"dropout,":[115],"spoken":[116],"language":[117],"un-derstanding":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
