{"id":"https://openalex.org/W4291908500","doi":"https://doi.org/10.1109/icccs55155.2022.9846372","title":"Multi-Topic Categorization in a Low-Resource Ewe Language: A Modern Transformer Approach","display_name":"Multi-Topic Categorization in a Low-Resource Ewe Language: A Modern Transformer Approach","publication_year":2022,"publication_date":"2022-04-22","ids":{"openalex":"https://openalex.org/W4291908500","doi":"https://doi.org/10.1109/icccs55155.2022.9846372"},"language":"en","primary_location":{"id":"doi:10.1109/icccs55155.2022.9846372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs55155.2022.9846372","pdf_url":null,"source":{"id":"https://openalex.org/S4363608130","display_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","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/A5017252813","display_name":"Victor Kwaku Agbesi","orcid":"https://orcid.org/0000-0003-0723-5008"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Victor Kwaku Agbesi","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen Wenyu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Wenyu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015553254","display_name":"Noble Arden Kuadey","orcid":"https://orcid.org/0000-0001-5346-8553"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Noble Arden Kuadey","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019368507","display_name":"Gerald Tietaa Maale","orcid":"https://orcid.org/0000-0001-9574-8035"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gerald Tietaa Maale","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017252813"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.8347,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74266031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"45"},"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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.996999979019165,"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":0.8305814266204834},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.8269848823547363},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7530897855758667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.637563169002533},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6163783073425293},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6063634753227234},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5927996635437012},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5639413595199585},{"id":"https://openalex.org/keywords/text-categorization","display_name":"Text categorization","score":0.4181953966617584},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4143667221069336},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41345474123954773},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07265138626098633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8305814266204834},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.8269848823547363},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7530897855758667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.637563169002533},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6163783073425293},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6063634753227234},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5927996635437012},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5639413595199585},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.4181953966617584},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4143667221069336},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41345474123954773},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07265138626098633},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs55155.2022.9846372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs55155.2022.9846372","pdf_url":null,"source":{"id":"https://openalex.org/S4363608130","display_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2146241755","https://openalex.org/W2277523758","https://openalex.org/W2777077083","https://openalex.org/W2896457183","https://openalex.org/W2951165112","https://openalex.org/W2968249055","https://openalex.org/W2974335209","https://openalex.org/W2983493784","https://openalex.org/W2999089077","https://openalex.org/W3008340068","https://openalex.org/W3019166713","https://openalex.org/W3029803669","https://openalex.org/W3038105747","https://openalex.org/W3088383017","https://openalex.org/W3112929524","https://openalex.org/W3113087120","https://openalex.org/W3113477245","https://openalex.org/W3116628494","https://openalex.org/W3147753002","https://openalex.org/W3154302539","https://openalex.org/W3163832451","https://openalex.org/W3169056399","https://openalex.org/W4405188194","https://openalex.org/W6755207826","https://openalex.org/W6764107768","https://openalex.org/W6778546712","https://openalex.org/W6787583277","https://openalex.org/W6787887069","https://openalex.org/W6793158225"],"related_works":["https://openalex.org/W2360898036","https://openalex.org/W2390857744","https://openalex.org/W2133651098","https://openalex.org/W2390698788","https://openalex.org/W2383063829","https://openalex.org/W2138922887","https://openalex.org/W2082678934","https://openalex.org/W2035261173","https://openalex.org/W2106892947","https://openalex.org/W2237299843"],"abstract_inverted_index":{"The":[0,131,149],"evolution":[1],"of":[2,21,60,151,193],"natural":[3],"language":[4,96],"processing":[5],"(NLP)":[6],"recently,":[7],"paved":[8],"the":[9,84,115,139,143,152,165],"way":[10],"for":[11,93,127],"text":[12],"categorization.":[13,130],"With":[14],"this":[15,82,103,147],"mechanism,":[16],"allocating":[17],"a":[18,25,41,58,89,94,99,158],"large":[19],"volume":[20],"textual":[22],"data":[23],"to":[24,66,135,168],"category":[26],"is":[27,32,112,133,154],"much":[28,48],"easier.":[29],"This":[30],"task":[31,70],"more":[33],"challenging":[34],"in":[35,40,50,71,146],"dealing":[36],"with":[37,76,196],"multi-topic":[38,100],"categorizations":[39],"low-resource":[42,74],"language.":[43],"Transformer-based":[44],"mechanisms":[45],"have":[46],"shown":[47],"strength":[49],"NLP":[51],"tasks.":[52],"However,":[53],"low-resourced,":[54],"low-data":[55],"settings":[56],"and":[57,78,97,137,190],"lack":[59],"benchmark":[61,91],"datasets":[62],"make":[63],"it":[64],"difficult":[65],"perform":[67],"any":[68],"NLP-related":[69],"these":[72],"extremely":[73],"languages":[75],"data-points":[77],"dataset":[79,92],"constraints.":[80],"In":[81],"work,":[83],"authors":[85],"focus":[86],"on":[87,114],"creating":[88],"new":[90],"low-resourced":[95],"performed":[98],"categorization":[101],"using":[102],"dataset.":[104],"We":[105],"further":[106],"propose":[107],"an":[108],"EweBERT":[109,132,153],"model,":[110],"which":[111,163],"built":[113],"pre-trained":[116],"transformer":[117],"model":[118],"known":[119],"as":[120,142],"Bidirectional":[121],"Encoder":[122],"Representations":[123],"from":[124],"Transformers":[125],"(BERT)":[126],"multi":[128],"topic":[129],"used":[134],"tokenize":[136],"represent":[138],"input":[140],"articles":[141,166],"initial":[144],"stage":[145],"system.":[148],"output":[150],"then":[155],"sent":[156],"into":[157],"densely":[159],"connected":[160],"neural":[161],"network,":[162],"classifies":[164],"according":[167],"six":[169],"(6)":[170],"diverse":[171],"predefined":[172],"topics.":[173],"Experimental":[174],"results":[175],"prove":[176],"that":[177],"our":[178],"proposed":[179],"EweBERT-model":[180],"records":[181],"86.2%":[182],"accuracy,":[183],"85.6%":[184],"F1-score":[185,188,191],"micro,":[186],"85.4%":[187],"macro,":[189],"mass":[192],"85.7%":[194],"compared":[195],"3":[197],"benchmarked":[198],"models.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}