{"id":"https://openalex.org/W7154938310","doi":"https://doi.org/10.1109/access.2026.3685247","title":"Domain Japanese Defective-Word Identification via BERT-GCN Semantic Expansion","display_name":"Domain Japanese Defective-Word Identification via BERT-GCN Semantic Expansion","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7154938310","doi":"https://doi.org/10.1109/access.2026.3685247"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3685247","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3685247","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3685247","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134006677","display_name":"Yan Liang","orcid":"https://orcid.org/0009-0001-3100-0332"},"institutions":[{"id":"https://openalex.org/I156292868","display_name":"Dalian University of Foreign Languages","ror":"https://ror.org/008a8z393","country_code":"CN","type":"education","lineage":["https://openalex.org/I156292868"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liang","raw_affiliation_strings":["Foreign Language College, Dalian University of Technology City Institute, Dalian, Liaoning, China"],"raw_orcid":"https://orcid.org/0009-0001-3100-0332","affiliations":[{"raw_affiliation_string":"Foreign Language College, Dalian University of Technology City Institute, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I156292868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101556192","display_name":"Muddassira Arshad","orcid":"https://orcid.org/0000-0001-9337-6602"},"institutions":[{"id":"https://openalex.org/I172780181","display_name":"University of the Punjab","ror":"https://ror.org/011maz450","country_code":"PK","type":"education","lineage":["https://openalex.org/I172780181"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muddassira Arshad","raw_affiliation_strings":["Department of Software Engineering, University of the Punjab, Lahore, Pakistan"],"raw_orcid":"https://orcid.org/0000-0001-9337-6602","affiliations":[{"raw_affiliation_string":"Department of Software Engineering, University of the Punjab, Lahore, Pakistan","institution_ids":["https://openalex.org/I172780181"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44665617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"62682","last_page":"62694"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","score":0.3610000014305115,"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":0.3610000014305115,"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":0.17010000348091125,"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":0.16769999265670776,"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/domain","display_name":"Domain (mathematical analysis)","score":0.6100999712944031},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5863000154495239},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35100001096725464},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.34439998865127563},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.25270000100135803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8036999702453613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6154999732971191},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6100999712944031},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5863000154495239},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4726000130176544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35100001096725464},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2500999867916107},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.23829999566078186}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3685247","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3685247","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f3db94d5611c4fe8b9775efaf9b6f271","is_oa":true,"landing_page_url":"https://doaj.org/article/f3db94d5611c4fe8b9775efaf9b6f271","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 62682-62694 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3685247","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3685247","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1],"focuses":[2],"on":[3,107],"domain-specific":[4],"Japanese":[5],"defective-word":[6],"identification":[7],"and":[8,47,57,76,99,125,141],"proposes":[9],"a":[10,26,30,60,73,159],"BERT\u2013Graph":[11],"Convolutional":[12],"Network":[13],"with":[14,33,80,146,158],"Variational":[15],"Autoencoder":[16],"enhancement":[17],"(BGCN-va)":[18],"model.":[19],"BERT-generated":[20],"semantic":[21,46],"embeddings":[22],"are":[23],"projected":[24],"into":[25,72],"low-dimensional":[27],"space":[28,75],"via":[29],"linear":[31],"transformation":[32],"ReLU":[34],"activation,":[35],"then":[36],"concatenated":[37],"to":[38,90,102],"form":[39],"fused":[40],"representations":[41,71],"that":[42,106,151],"preserve":[43],"complementary":[44],"local":[45],"global":[48],"statistical":[49],"information.":[50],"To":[51],"enhance":[52],"modeling":[53],"capacity":[54,98],"for":[55],"multimodal":[56],"hierarchical":[58],"data,":[59],"variational":[61],"autoencoder\u2013based":[62],"graph":[63],"convolutional":[64],"network":[65],"(GCN-va)":[66],"is":[67,87],"incorporated,":[68],"mapping":[69],"node":[70],"hyperbolic":[74],"integrating":[77],"hypergraph":[78],"convolution":[79],"nonlinear":[81],"activation.":[82],"A":[83],"multi-layer":[84],"fusion":[85,165],"mechanism":[86],"finally":[88],"employed":[89],"aggregate":[91],"features":[92],"across":[93],"different":[94],"levels,":[95],"improving":[96,117],"representational":[97],"reducing":[100],"sensitivity":[101],"noise.":[103],"Experiments":[104],"show":[105],"the":[108,119,133,153,164,171],"JDT":[109],"dataset,":[110,135],"BGCN-va":[111,136],"achieves":[112],"an":[113,127],"accuracy":[114,138],"of":[115,130,173],"98.45%,":[116],"over":[118],"second-best":[120],"model":[121],"(BertGACN)":[122],"by":[123,139,143],"0.13%":[124],"achieving":[126],"F1-score":[128,142],"gain":[129],"0.11%.":[131],"On":[132],"UD-Japanese":[134],"improves":[137],"1.22%":[140],"2.11%":[144],"compared":[145],"BertGACN.":[147],"Ablation":[148],"results":[149],"indicate":[150],"removing":[152,163],"BERT":[154],"module,":[155],"replacing":[156],"GCN-va":[157],"conventional":[160],"GCN,":[161],"or":[162],"subnetwork":[166],"all":[167],"reduce":[168],"accuracy,":[169],"supporting":[170],"contribution":[172],"each":[174],"component.":[175]},"counts_by_year":[],"updated_date":"2026-05-04T06:00:05.808912","created_date":"2026-04-21T00:00:00"}
