{"id":"https://openalex.org/W3119708270","doi":"https://doi.org/10.1109/siu49456.2020.9302289","title":"Active Learning for Turkish Text Classification","display_name":"Active Learning for Turkish Text Classification","publication_year":2020,"publication_date":"2020-10-05","ids":{"openalex":"https://openalex.org/W3119708270","doi":"https://doi.org/10.1109/siu49456.2020.9302289","mag":"3119708270"},"language":"en","primary_location":{"id":"doi:10.1109/siu49456.2020.9302289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th 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/A5071697234","display_name":"Ali Osman Berk \u015eapc\u0131","orcid":"https://orcid.org/0000-0003-4396-817X"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ali Osman Berk \u015eapc\u0131","raw_affiliation_strings":["Sabancı Üniversitesi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sabancı Üniversitesi","institution_ids":["https://openalex.org/I134235054"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051657734","display_name":"\u00d6znur Ta\u015ftan","orcid":"https://orcid.org/0000-0001-7058-5372"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u00d6znur Ta\u015ftan","raw_affiliation_strings":["Sabancı Üniversitesi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sabancı Üniversitesi","institution_ids":["https://openalex.org/I134235054"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035084467","display_name":"Reyyan Yeniterzi","orcid":"https://orcid.org/0000-0002-8501-6209"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Reyyan Yeniterzi","raw_affiliation_strings":["Sabancı Üniversitesi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sabancı Üniversitesi","institution_ids":["https://openalex.org/I134235054"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1354,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59094888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","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/T12072","display_name":"Machine Learning and Algorithms","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/T11269","display_name":"Algorithms and Data Compression","score":0.9635999798774719,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9501000046730042,"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":0.8228058815002441},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.6983063220977783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6970047950744629},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6759008169174194},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6619681119918823},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.6410485506057739},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.6327609419822693},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5497815608978271},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.49785709381103516},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.45403313636779785},{"id":"https://openalex.org/keywords/turkish","display_name":"Turkish","score":0.44060441851615906},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34811949729919434},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1188182532787323}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8228058815002441},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.6983063220977783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6970047950744629},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6759008169174194},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6619681119918823},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.6410485506057739},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.6327609419822693},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5497815608978271},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.49785709381103516},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.45403313636779785},{"id":"https://openalex.org/C2781121862","wikidata":"https://www.wikidata.org/wiki/Q256","display_name":"Turkish","level":2,"score":0.44060441851615906},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34811949729919434},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1188182532787323},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu49456.2020.9302289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1484084878","https://openalex.org/W1513874326","https://openalex.org/W1580375566","https://openalex.org/W1995875735","https://openalex.org/W2012878613","https://openalex.org/W2021367230","https://openalex.org/W2024932032","https://openalex.org/W2080021732","https://openalex.org/W2137795521","https://openalex.org/W2151023586","https://openalex.org/W2171671120","https://openalex.org/W2182404622","https://openalex.org/W2571942414","https://openalex.org/W2617819171","https://openalex.org/W2864514560","https://openalex.org/W2903158431","https://openalex.org/W2909339319"],"related_works":["https://openalex.org/W2949671220","https://openalex.org/W1492505081","https://openalex.org/W4312414840","https://openalex.org/W34092691","https://openalex.org/W2794908468","https://openalex.org/W2531570999","https://openalex.org/W4206276646","https://openalex.org/W2943467239","https://openalex.org/W1571801203","https://openalex.org/W101422005"],"abstract_inverted_index":{"Many":[0],"natural":[1],"language":[2],"processing":[3],"(NLP)":[4],"applications":[5],"are":[6],"solved":[7],"in":[8,66],"a":[9,16,52,67],"supervised":[10],"learning":[11,73,116,128],"framework,":[12],"which":[13],"often":[14,37],"requires":[15,43],"sufficiently":[17],"large":[18],"amount":[19],"of":[20,32,69,102],"labeled":[21,25,49,138],"data.":[22,139],"However,":[23],"the":[24,30,55,86,100,136],"data":[26,59],"is":[27,36,51,60],"scarce":[28],"as":[29],"process":[31],"obtaining":[33,48],"class":[34],"labels":[35],"costly":[38],"and/or":[39,82],"time-consuming":[40],"and":[41,62],"sometimes":[42],"indepth":[44],"expert":[45],"knowledge.":[46],"Thus,":[47],"sets":[50],"bottleneck.":[53],"On":[54],"other":[56],"hand,":[57],"unlabeled":[58,87],"abundant":[61],"easy":[63],"to":[64,89,98,130],"access":[65],"variety":[68],"domains.":[70],"The":[71],"active":[72,95,115,127],"paradigm":[74],"addresses":[75],"this":[76,93,110],"challenge":[77],"by":[78],"effectively":[79],"selecting":[80],"informative":[81],"representative":[83],"instances":[84],"from":[85],"pool":[88],"be":[90],"labeled.":[91],"In":[92,109],"way,":[94],"learners":[96],"aim":[97],"reduce":[99],"cost":[101],"label":[103],"acquisition":[104],"without":[105],"sacrificing":[106],"model":[107],"performance.":[108],"work,":[111],"we":[112],"apply":[113],"conventional":[114],"techniques":[117],"on":[118],"various":[119],"Turkish":[120],"text":[121],"classification":[122],"tasks.":[123],"Experiments":[124],"demonstrate":[125],"that":[126],"helps":[129],"attain":[131],"good":[132],"performances":[133],"while":[134],"reducing":[135],"required":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}