{"id":"https://openalex.org/W4387682348","doi":"https://doi.org/10.1109/taslp.2023.3325135","title":"Automatic Noise Generation and Reduction for Text Classification","display_name":"Automatic Noise Generation and Reduction for Text Classification","publication_year":2023,"publication_date":"2023-10-16","ids":{"openalex":"https://openalex.org/W4387682348","doi":"https://doi.org/10.1109/taslp.2023.3325135"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2023.3325135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2023.3325135","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5023724440","display_name":"Huiyao Chen","orcid":"https://orcid.org/0000-0003-3518-0817"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huiyao Chen","raw_affiliation_strings":["School of New Media and Communication, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of New Media and Communication, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005091713","display_name":"Yueheng Sun","orcid":"https://orcid.org/0000-0003-4569-8193"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueheng Sun","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004953265","display_name":"Meishan Zhang","orcid":"https://orcid.org/0000-0001-6335-1340"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meishan Zhang","raw_affiliation_strings":["Institute of Computing and Intelligence, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing and Intelligence, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402911","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0002-3895-5510"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["Institute of Computing and Intelligence, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing and Intelligence, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023724440"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.7006,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76101644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"32","issue":null,"first_page":"139","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9998000264167786,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9998000264167786,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9973999857902527,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9916999936103821,"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/crowdsourcing","display_name":"Crowdsourcing","score":0.800140380859375},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7570417523384094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7481530904769897},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6790199279785156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5624635219573975},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.47415891289711},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.47300297021865845},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.46990033984184265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.452609658241272},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3954688310623169},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34134918451309204},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3033931255340576},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10003411769866943}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.800140380859375},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7570417523384094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7481530904769897},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6790199279785156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5624635219573975},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.47415891289711},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.47300297021865845},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.46990033984184265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.452609658241272},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3954688310623169},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34134918451309204},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3033931255340576},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10003411769866943},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2023.3325135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2023.3325135","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4330972969","display_name":null,"funder_award_id":"62176180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W57814663","https://openalex.org/W102708294","https://openalex.org/W1965760012","https://openalex.org/W1970409510","https://openalex.org/W1972675781","https://openalex.org/W1980867644","https://openalex.org/W1990482343","https://openalex.org/W2034170092","https://openalex.org/W2048679005","https://openalex.org/W2057026632","https://openalex.org/W2070246124","https://openalex.org/W2078396547","https://openalex.org/W2100506586","https://openalex.org/W2100792117","https://openalex.org/W2113765418","https://openalex.org/W2120615054","https://openalex.org/W2137349054","https://openalex.org/W2152805927","https://openalex.org/W2167460663","https://openalex.org/W2250539671","https://openalex.org/W2265846598","https://openalex.org/W2288762393","https://openalex.org/W2559052127","https://openalex.org/W2564132432","https://openalex.org/W2566079294","https://openalex.org/W2618574054","https://openalex.org/W2773532513","https://openalex.org/W2804664105","https://openalex.org/W2896457183","https://openalex.org/W2963355447","https://openalex.org/W2963697299","https://openalex.org/W2964274690","https://openalex.org/W2964292098","https://openalex.org/W2970641574","https://openalex.org/W2981873476","https://openalex.org/W2987558058","https://openalex.org/W2997049449","https://openalex.org/W3007595536","https://openalex.org/W3013573099","https://openalex.org/W3027933721","https://openalex.org/W3094444847","https://openalex.org/W3104255659","https://openalex.org/W3138670565","https://openalex.org/W3139138410","https://openalex.org/W3141039124","https://openalex.org/W3156333129","https://openalex.org/W3204619801","https://openalex.org/W3207360435","https://openalex.org/W3213033172","https://openalex.org/W4205528697","https://openalex.org/W4205730987","https://openalex.org/W4226418765","https://openalex.org/W4238893454","https://openalex.org/W4244259635","https://openalex.org/W6601047480","https://openalex.org/W6632118081","https://openalex.org/W6636510571","https://openalex.org/W6678280073","https://openalex.org/W6682171051","https://openalex.org/W6685053522","https://openalex.org/W6691459498","https://openalex.org/W6712300348","https://openalex.org/W6737419302","https://openalex.org/W6737985840","https://openalex.org/W6742080785","https://openalex.org/W6748634344","https://openalex.org/W6751420435","https://openalex.org/W6751647823","https://openalex.org/W6753550614","https://openalex.org/W6762161020","https://openalex.org/W6763430915","https://openalex.org/W6763745640","https://openalex.org/W6775567351","https://openalex.org/W6784235280","https://openalex.org/W6785821353"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W3108403339","https://openalex.org/W2162712524","https://openalex.org/W4287867034","https://openalex.org/W2175872006","https://openalex.org/W3005783148","https://openalex.org/W3021143552","https://openalex.org/W2004821155"],"abstract_inverted_index":{"Label":[0],"noise":[1,25,52,86,104,113,119,132],"is":[2,90],"an":[3],"important":[4],"issue":[5],"in":[6],"machine":[7],"learning,":[8],"which":[9,89],"might":[10,65],"lead":[11],"to":[12,37,82,116],"negative":[13],"influences":[14],"on":[15,74,137,152],"various":[16,84],"tasks.":[17],"Given":[18],"that":[19],"real":[20,112],"benchmarks":[21],"for":[22,97],"evaluation":[23],"of":[24,31,50,77,94,111,130,140],"reduction":[26,133],"methods":[27,134],"are":[28,60],"limited,":[29],"plenty":[30],"studies":[32],"construct":[33],"pseudo":[34,58,85,145],"noisy":[35,146],"data":[36,139],"verify":[38],"their":[39,62],"proposed":[40],"methods.":[41,121],"However,":[42],"very":[43],"few":[44],"works":[45],"have":[46],"realized":[47],"the":[48,51,56,91,103,128,138],"rationality":[49],"generation":[53,87,120,147],"strategies.":[54,148],"If":[55],"generated":[57,105],"datasets":[59],"biased,":[61],"final":[63],"conclusions":[64],"also":[66],"be":[67],"problematic.":[68],"In":[69,99],"this":[70,95],"work,":[71],"we":[72,101,124],"focus":[73],"text":[75,154],"classification":[76,155],"natural":[78],"language":[79],"processing":[80],"(NLP)":[81],"investigate":[83],"methods,":[88],"first":[92],"work":[93],"line":[96],"NLP.":[98],"particular,":[100],"compare":[102,127],"with":[106],"crowdsourcing":[107,141],"noise,":[108],"a":[109],"kind":[110],"as":[114,161,163],"gold-standard,":[115],"evaluate":[117],"these":[118],"After":[122],"then,":[123],"measure":[125],"and":[126,142],"performance":[129],"representative":[131],"respectively":[135],"based":[136],"our":[143],"top-ranked":[144],"We":[149],"conduct":[150],"experiments":[151],"five":[153],"datasets,":[156],"offering":[157],"detailed":[158],"comparison":[159],"results":[160],"well":[162],"discussions.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
