{"id":"https://openalex.org/W4385363939","doi":"https://doi.org/10.1145/3596947.3596962","title":"Efficient Adaptive Convolutional Model Based on Label Embedding for Text Classification Using Low Resource Languages","display_name":"Efficient Adaptive Convolutional Model Based on Label Embedding for Text Classification Using Low Resource Languages","publication_year":2023,"publication_date":"2023-04-23","ids":{"openalex":"https://openalex.org/W4385363939","doi":"https://doi.org/10.1145/3596947.3596962"},"language":"en","primary_location":{"id":"doi:10.1145/3596947.3596962","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3596947.3596962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence","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":false,"raw_author_name":"Victor Kwaku Agbesi","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0003-0723-5008","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687323","display_name":"Wenyu Chen","orcid":"https://orcid.org/0000-0002-9933-8014"},"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":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0002-9933-8014","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018046335","display_name":"Abush S. Ameneshewa","orcid":"https://orcid.org/0000-0002-5847-7675"},"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":"Abush S. Ameneshewa","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0002-5847-7675","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027987641","display_name":"Emmanuel Odame","orcid":"https://orcid.org/0000-0002-8818-3221"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emmanuel Odame","raw_affiliation_strings":["College of Biological Sciences, University of Minnesota, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-8818-3221","affiliations":[{"raw_affiliation_string":"College of Biological Sciences, University of Minnesota, United States of America","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079279090","display_name":"Koffi Dumor","orcid":"https://orcid.org/0000-0002-1764-7025"},"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":"Koffi Dumor","raw_affiliation_strings":["School of Public Affairs and Administration, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0002-1764-7025","affiliations":[{"raw_affiliation_string":"School of Public Affairs and Administration, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024367570","display_name":"Judith Ayekai Browne","orcid":"https://orcid.org/0000-0002-7278-3724"},"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":"Judith Ayekai Browne","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0002-7278-3724","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8158,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77927421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"144","last_page":"151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9984999895095825,"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":0.9984999895095825,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9861999750137329,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8011478781700134},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.650448203086853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5451189875602722},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4954336881637573},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.48555538058280945},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.4101964235305786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8011478781700134},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.650448203086853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5451189875602722},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4954336881637573},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.48555538058280945},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.4101964235305786},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3596947.3596962","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3596947.3596962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1516184288","https://openalex.org/W2120615054","https://openalex.org/W2171061940","https://openalex.org/W2250539671","https://openalex.org/W2265846598","https://openalex.org/W2520277669","https://openalex.org/W2740721704","https://openalex.org/W2807799312","https://openalex.org/W2808133401","https://openalex.org/W2964514192","https://openalex.org/W3106169611","https://openalex.org/W3181848549","https://openalex.org/W4212926655","https://openalex.org/W4242177601","https://openalex.org/W4291908500","https://openalex.org/W4312205190","https://openalex.org/W4361828872"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2419146053","https://openalex.org/W4388890789","https://openalex.org/W2088247287","https://openalex.org/W3204019825","https://openalex.org/W3045290893"],"abstract_inverted_index":{"Text":[0],"classification":[1,50,77,139,172,215],"technology":[2],"has":[3,175],"been":[4],"efficiently":[5,112,159],"deployed":[6],"in":[7,54,188],"numerous":[8,44],"organizational":[9],"applications,":[10],"including":[11,57],"subject":[12],"tagging,":[13],"intent,":[14],"event":[15],"detection,":[16],"spam":[17],"filtering,":[18],"and":[19,31,33,38,61,102,163,203],"email":[20],"routing.":[21],"This":[22,40,92],"also":[23],"helps":[24],"organizations":[25],"streamline":[26],"processes,":[27],"enhance":[28,138,213],"data-driven":[29],"operations,":[30],"evaluate":[32],"analyze":[34],"textual":[35],"resources":[36],"quickly":[37],"economically.":[39],"progress":[41],"results":[42],"from":[43],"studies":[45],"on":[46,154,181,184,229],"high-resource":[47,66],"language-based":[48],"text":[49,76,171,194],"tasks.":[51,173],"However,":[52],"research":[53],"low-resource":[55,79,231],"languages,":[56],"Ewe,":[58],"Arabic,":[59],"Filipino,":[60],"Kazakh,":[62],"lags":[63],"behind":[64],"other":[65,227],"languages":[67,80,131],"like":[68],"English.":[69],"Also,":[70],"the":[71,83,118,126,165,189,193,198,214],"most":[72],"difficult":[73],"aspect":[74],"of":[75,86,120,200],"using":[78],"is":[81,93,223],"identifying":[82],"optimal":[84],"set":[85],"filters":[87,179],"for":[88,129,169],"its":[89],"feature":[90],"extraction.":[91],"due":[94],"to":[95,111,116,133,137,158,212],"their":[96,121],"complex":[97],"morphology,":[98],"linguistic":[99],"diversity,":[100],"multilingualism,":[101],"syntax.":[103],"Studies":[104],"that":[105,220],"have":[106],"explored":[107],"these":[108,130],"problems":[109],"failed":[110],"use":[113],"label":[114,127,155,161,167,185,206],"information":[115,128,162],"better":[117],"performance":[119],"methods.":[122],"As":[123],"a":[124,209],"result,":[125],"needs":[132],"be":[134],"adequately":[135],"utilized":[136],"results.":[140,216],"To":[141],"solve":[142],"this":[143,145],"problem,":[144],"study":[146],"proposes":[147],"an":[148],"efficient":[149],"adaptive":[150,201],"convolutional":[151,178],"model":[152],"based":[153,183],"embedding":[156],"(EAdaCLE)":[157],"represent":[160],"utilize":[164],"learned":[166],"representations":[168],"various":[170],"EAdaCLE":[174,196],"adaptively":[176],"engineered":[177],"trained":[180],"inputs":[182],"embeddings":[186],"generated":[187],"same":[190],"network":[191],"as":[192,208],"vectors.":[195],"ensures":[197],"adaptability":[199],"convolution":[202],"completely":[204],"obtains":[205],"data":[207],"supporting":[210],"function":[211],"Extensive":[217],"experiments":[218],"indicate":[219],"our":[221],"technique":[222],"more":[224],"reliable":[225],"than":[226],"methods":[228],"four":[230],"public":[232],"datasets.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}