{"id":"https://openalex.org/W7130570651","doi":"https://doi.org/10.1109/ictc66702.2025.11387959","title":"Progressive Vocabulary Learning via Pareto-Optimal Clustering","display_name":"Progressive Vocabulary Learning via Pareto-Optimal Clustering","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W7130570651","doi":"https://doi.org/10.1109/ictc66702.2025.11387959"},"language":null,"primary_location":{"id":"doi:10.1109/ictc66702.2025.11387959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11387959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","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/A5123679628","display_name":"Deepika Verma","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Deepika Verma","raw_affiliation_strings":["Kyungpook National University,Dept. of Artificial Intelligence,Daegu,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyungpook National University,Dept. of Artificial Intelligence,Daegu,South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068150357","display_name":"Daison Darlan","orcid":"https://orcid.org/0000-0002-9185-9704"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daison Darlan","raw_affiliation_strings":["Kyungpook National University,Dept. of Artificial Intelligence,Daegu,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyungpook National University,Dept. of Artificial Intelligence,Daegu,South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":null,"display_name":"Rammohan Mallipeddi","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Rammohan Mallipeddi","raw_affiliation_strings":["Kyungpook National University,Dept. of Artificial Intelligence,Daegu,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyungpook National University,Dept. of Artificial Intelligence,Daegu,South Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"213","last_page":"218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","score":0.9923999905586243,"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/T13629","display_name":"Text Readability and Simplification","score":0.9923999905586243,"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/T11587","display_name":"Second Language Acquisition and Learning","score":0.004699999932199717,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10103","display_name":"Reading and Literacy Development","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.765500009059906},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5626999735832214},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.5187000036239624},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.482699990272522},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43549999594688416},{"id":"https://openalex.org/keywords/vocabulary-learning","display_name":"Vocabulary learning","score":0.4345000088214874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7806000113487244},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.765500009059906},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6377000212669373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6305000185966492},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5626999735832214},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.5187000036239624},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.482699990272522},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43549999594688416},{"id":"https://openalex.org/C2984601542","wikidata":"https://www.wikidata.org/wiki/Q48842322","display_name":"Vocabulary learning","level":3,"score":0.4345000088214874},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.38609999418258667},{"id":"https://openalex.org/C62737587","wikidata":"https://www.wikidata.org/wiki/Q7939179","display_name":"Vocabulary development","level":3,"score":0.3529999852180481},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3474000096321106},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.33009999990463257},{"id":"https://openalex.org/C74672266","wikidata":"https://www.wikidata.org/wiki/Q815859","display_name":"Language acquisition","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2662000060081482}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc66702.2025.11387959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11387959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8626470565795898,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324625","display_name":"Korea Agency for Infrastructure Technology Advancement","ror":"https://ror.org/00rxf7n07"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1746111881","https://openalex.org/W1993672149","https://openalex.org/W2063490579","https://openalex.org/W2081580037","https://openalex.org/W2114282361","https://openalex.org/W2116661285","https://openalex.org/W2150593711","https://openalex.org/W2295124130","https://openalex.org/W2605243085","https://openalex.org/W2798484540","https://openalex.org/W2883477118","https://openalex.org/W2972063282","https://openalex.org/W4255528569","https://openalex.org/W4309490855","https://openalex.org/W4362014186","https://openalex.org/W4386290290","https://openalex.org/W4389339545","https://openalex.org/W4402117799","https://openalex.org/W4417172094"],"related_works":[],"abstract_inverted_index":{"Vocabulary":[0],"acquisition":[1],"is":[2,10],"a":[3,32,50,63,77,123],"foundational":[4],"component":[5],"of":[6,80,105],"language":[7,156],"learning":[8],"and":[9,66,97,120,132,151],"most":[11,25],"effective":[12],"when":[13],"learners":[14],"engage":[15],"with":[16,129],"texts":[17,128],"that":[18,52,126,140],"gradually":[19],"increase":[20],"in":[21,41],"lexical":[22],"complexity.":[23,133],"However,":[24],"existing":[26],"text":[27,60,65,147],"simplification":[28],"systems":[29],"produce":[30],"only":[31],"single":[33],"simplified":[34],"version,":[35],"lacking":[36],"support":[37],"for":[38,155],"controlled":[39],"progression":[40],"vocabulary":[42,131,153],"difficulty.":[43],"To":[44],"address":[45],"this":[46],"gap,":[47],"we":[48],"propose":[49],"framework":[51],"generates":[53],"multiple":[54],"lexically":[55],"varied":[56],"yet":[57],"semantically":[58],"accurate":[59],"variants":[61,82,110],"from":[62],"given":[64],"organizes":[67],"them":[68],"into":[69,113],"structured":[70],"reading":[71],"levels.":[72],"Our":[73],"method":[74],"first":[75],"creates":[76],"Pareto":[78],"front":[79],"optimal":[81],"by":[83,91,101],"balancing":[84],"two":[85],"competing":[86],"objectives:":[87],"improving":[88],"readability,":[89],"measured":[90],"the":[92,103],"Flesch\u2013Kincaid":[93],"Grade":[94],"Level":[95],"(FKGL),":[96],"preserving":[98],"semantic":[99],"integrity":[100],"limiting":[102],"number":[104],"word":[106],"substitutions.":[107],"The":[108],"generated":[109],"are":[111],"organized":[112],"three":[114],"progressively":[115],"challenging":[116],"levels,":[117],"Beginner,":[118],"Intermediate,":[119],"Advanced,":[121],"using":[122],"clustering":[124],"process":[125],"groups":[127],"similar":[130],"Experimental":[134],"results":[135],"across":[136],"diverse":[137],"inputs":[138],"show":[139],"our":[141],"approach":[142],"consistently":[143],"produces":[144],"well-stratified,":[145],"interpretable":[146],"variants,":[148],"supporting":[149],"personalized":[150],"incremental":[152],"development":[154],"learners.":[157]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-02-20T00:00:00"}
