{"id":"https://openalex.org/W120183409","doi":"https://doi.org/10.21437/interspeech.2010-622","title":"Sparse representations for text categorization","display_name":"Sparse representations for text categorization","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W120183409","doi":"https://doi.org/10.21437/interspeech.2010-622","mag":"120183409"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2010-622","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","raw_type":"proceedings-article"},"type":"conference-paper","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/A5070513394","display_name":"Tara N. Sainath","orcid":"https://orcid.org/0000-0002-4126-6556"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tara N. Sainath","raw_affiliation_strings":["IBM (United States), Armonk, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM (United States), Armonk, United States","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110215786","display_name":"Sameer Maskey","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sameer R. Maskey","raw_affiliation_strings":["IBM (United States), Armonk, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM (United States), Armonk, United States","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046671967","display_name":"Dimitri Kanevsky","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitri Kanevsky","raw_affiliation_strings":["IBM (United States), Armonk, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM (United States), Armonk, United States","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071715737","display_name":"Bhuvana Ramabhadran","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhuvana Ramabhadran","raw_affiliation_strings":["IBM (United States), Armonk, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM (United States), Armonk, United States","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007586881","display_name":"D. Nahamoo","orcid":null},"institutions":[{"id":"https://openalex.org/I1292318990","display_name":"Nuance Communications (Austria)","ror":"https://ror.org/04ggpbw68","country_code":"AT","type":"company","lineage":["https://openalex.org/I1292318990","https://openalex.org/I4210125787"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"David Nahamoo","raw_affiliation_strings":["Nuance Communications (Austria), Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nuance Communications (Austria), Vienna, Austria","institution_ids":["https://openalex.org/I1292318990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045037642","display_name":"Julia Hirschberg","orcid":"https://orcid.org/0000-0003-0689-7616"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julia Hirschberg","raw_affiliation_strings":["Columbia University, New York, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University, New York, United States","institution_ids":["https://openalex.org/I78577930"]}]}],"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":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2266","last_page":"2269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/categorization","display_name":"Categorization","score":0.795007050037384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7488272190093994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7068289518356323},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6809157133102417},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6385605931282043},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6125063896179199},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6015210747718811},{"id":"https://openalex.org/keywords/text-categorization","display_name":"Text categorization","score":0.5515444874763489},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5172022581100464},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.48751041293144226},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.4176161289215088},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3967415392398834},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3562473952770233},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2637456953525543},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16351351141929626},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07325980067253113}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.795007050037384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7488272190093994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7068289518356323},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6809157133102417},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6385605931282043},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6125063896179199},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6015210747718811},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.5515444874763489},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5172022581100464},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.48751041293144226},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.4176161289215088},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3967415392398834},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3562473952770233},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2637456953525543},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16351351141929626},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07325980067253113},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2010-622","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.644.1764","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.1764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.columbia.edu/~smaskey/papers/text_categ.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1550206324","https://openalex.org/W2034870236","https://openalex.org/W2085256060","https://openalex.org/W2103333826","https://openalex.org/W2118965172","https://openalex.org/W2129812935","https://openalex.org/W2149684865","https://openalex.org/W2435251607","https://openalex.org/W2799061466"],"related_works":["https://openalex.org/W2360898036","https://openalex.org/W2390857744","https://openalex.org/W2133651098","https://openalex.org/W2390698788","https://openalex.org/W2374047926","https://openalex.org/W2383063829","https://openalex.org/W2394466068","https://openalex.org/W2138922887","https://openalex.org/W2082678934","https://openalex.org/W2035261173"],"abstract_inverted_index":{"Sparse":[0],"representations":[1],"(SRs)":[2],"are":[3],"often":[4],"used":[5,80,117],"to":[6,22,25,38],"characterize":[7],"a":[8,60,113],"test":[9],"signal":[10,28],"using":[11],"few":[12],"support":[13],"training":[14],"examples,":[15],"and":[16,45,84],"allow":[17],"the":[18,26,32,53,90,94,108],"number":[19],"of":[20,35,55,93,126],"supports":[21],"be":[23,79],"adapted":[24],"specific":[27],"being":[29],"categorized.":[30],"Given":[31],"good":[33],"performance":[34],"SRs":[36,56],"compared":[37],"other":[39],"classifiers":[40],"for":[41,57,69,81,118,128],"both":[42],"image":[43],"classification":[44,83],"phonetic":[46],"clas-sification,":[47],"in":[48],"this":[49,70,102],"paper,":[50],"we":[51,73,98],"extended":[52],"use":[54],"text":[58,82,119,129],"classification,":[59],"method":[61,103],"which":[62],"has":[63],"thus":[64,121],"far":[65],"not":[66],"been":[67],"explored":[68],"domain.":[71],"Specifically,":[72],"demonstrate":[74],"how":[75,85],"sparse":[76],"repre-sentations":[77],"can":[78],"their":[86],"per-formance":[87],"varies":[88],"with":[89],"vocabulary":[91],"size":[92],"documents.":[95],"In":[96],"addition,":[97],"also":[99],"show":[100],"that":[101],"offers":[104],"promising":[105],"results":[106],"over":[107],"Naive":[109],"Bayes":[110],"(NB)":[111],"classifier,":[112],"standard":[114],"baseline":[115],"classi-fier":[116],"categorization,":[120],"introducing":[122],"an":[123],"alternative":[124],"class":[125],"methods":[127],"categorization.":[130],"1.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}