{"id":"https://openalex.org/W2058364086","doi":"https://doi.org/10.1109/siu.2013.6531443","title":"Curriculum based discriminative language model training","display_name":"Curriculum based discriminative language model training","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2058364086","doi":"https://doi.org/10.1109/siu.2013.6531443","mag":"2058364086"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2013.6531443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2013.6531443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","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/A5054618933","display_name":"Erin\u00e7 Dikici","orcid":null},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"E. Dikici","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, Istanbul, Turkey","Elektrik ve Elektron. Muhendisligi Bolumu, Bogazici Univ., Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]},{"raw_affiliation_string":"Elektrik ve Elektron. Muhendisligi Bolumu, Bogazici Univ., Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055086464","display_name":"Murat Sara\u00e7lar","orcid":"https://orcid.org/0000-0002-7435-8510"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"M. Saraclar","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, Istanbul, Turkey","Elektrik ve Elektron. Muhendisligi Bolumu, Bogazici Univ., Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]},{"raw_affiliation_string":"Elektrik ve Elektron. Muhendisligi Bolumu, Bogazici Univ., Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054618933"],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0908584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":1.0,"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":0.9995999932289124,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9959999918937683,"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/discriminative-model","display_name":"Discriminative model","score":0.8065239191055298},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7718777656555176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6836593747138977},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6741217374801636},{"id":"https://openalex.org/keywords/curriculum","display_name":"Curriculum","score":0.5902467370033264},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5897239446640015},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5878134965896606},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4631724953651428},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.45613935589790344},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.45003458857536316},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.44737210869789124},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4416544437408447},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3446521461009979},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3407634496688843},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3203306794166565},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06385615468025208}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8065239191055298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7718777656555176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6836593747138977},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6741217374801636},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.5902467370033264},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5897239446640015},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5878134965896606},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4631724953651428},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.45613935589790344},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.45003458857536316},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.44737210869789124},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4416544437408447},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3446521461009979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3407634496688843},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3203306794166565},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06385615468025208},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2013.6531443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2013.6531443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W181494806","https://openalex.org/W2008652694","https://openalex.org/W2015840095","https://openalex.org/W2047205705","https://openalex.org/W2078349113","https://openalex.org/W2115843962","https://openalex.org/W2152753389","https://openalex.org/W2158025800","https://openalex.org/W2171541062","https://openalex.org/W2296073425","https://openalex.org/W2405696722","https://openalex.org/W6607432625","https://openalex.org/W6685221346"],"related_works":["https://openalex.org/W2395910192","https://openalex.org/W2112752961","https://openalex.org/W2113687551","https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144"],"abstract_inverted_index":{"Discriminative":[0],"language":[1],"modeling":[2],"is":[3,29,97],"a":[4,18,21,87,104],"technique":[5],"used":[6],"for":[7],"correcting":[8],"automatic":[9],"speech":[10],"recognition":[11],"errors,":[12],"and":[13,51,58,69,91],"can":[14,81],"be":[15],"handled":[16],"as":[17],"classification":[19,50],"or":[20,36],"ranking":[22,52,94],"problem.":[23],"The":[24,75],"aim":[25],"of":[26,38,42,54,71,86],"curriculum":[27,62,79],"learning":[28,63,80],"to":[30],"train":[31],"the":[32,49,55,72,84,93],"model":[33],"with":[34,92,103],"examples":[35],"concepts":[37],"gradually":[39],"increasing":[40],"level":[41],"difficulty.":[43],"In":[44],"this":[45],"work,":[46],"we":[47],"use":[48],"versions":[53],"perceptron":[56,89],"algorithm":[57],"investigate":[59],"three":[60],"different":[61],"approaches":[64],"based":[65],"on":[66],"selection,":[67],"ordering":[68],"clustering":[70],"training":[73,106],"examples.":[74],"results":[76],"show":[77],"that":[78],"help":[82],"increase":[83],"performance":[85,102],"classifying":[88],"system,":[90],"perceptron,":[95],"it":[96],"possible":[98],"achieve":[99],"similar":[100],"system":[101],"shorter":[105],"time.":[107]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
