{"id":"https://openalex.org/W4411377611","doi":"https://doi.org/10.1145/3744903","title":"Entity Naming in NLP: Hybrid Approach GPT Transformer and Multi-level RNN","display_name":"Entity Naming in NLP: Hybrid Approach GPT Transformer and Multi-level RNN","publication_year":2025,"publication_date":"2025-06-17","ids":{"openalex":"https://openalex.org/W4411377611","doi":"https://doi.org/10.1145/3744903"},"language":"en","primary_location":{"id":"doi:10.1145/3744903","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3744903","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-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/A5116463843","display_name":"Ahmed A. Abdulhamed","orcid":"https://orcid.org/0000-0001-7932-0581"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ahmed Abdulhamed","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Wuhan University of Technology - Mafangshan Campus"],"raw_orcid":"https://orcid.org/0000-0001-7932-0581","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan University of Technology - Mafangshan Campus","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088290711","display_name":"Prabhat Ranjan Singh","orcid":"https://orcid.org/0000-0003-4847-7417"},"institutions":[{"id":"https://openalex.org/I4210152023","display_name":"Universidad Polit\u00e9cnica de El Salvador","ror":"https://ror.org/040gj5g64","country_code":"SV","type":"education","lineage":["https://openalex.org/I4210152023"]}],"countries":["SV"],"is_corresponding":false,"raw_author_name":"Prabhat Ranjan","raw_affiliation_strings":["School of Computer Science, UPES"],"raw_orcid":"https://orcid.org/0000-0003-4847-7417","affiliations":[{"raw_affiliation_string":"School of Computer Science, UPES","institution_ids":["https://openalex.org/I4210152023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011707621","display_name":"Shengwu Xiong","orcid":"https://orcid.org/0000-0002-4006-7029"},"institutions":[{"id":"https://openalex.org/I4210100789","display_name":"Wuhan College","ror":"https://ror.org/01dashf18","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210100789"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengwu Xiong","raw_affiliation_strings":["Interdisciplinary Artificial Intelligence Research Institute, Wuhan College"],"raw_orcid":"https://orcid.org/0000-0002-4006-7029","affiliations":[{"raw_affiliation_string":"Interdisciplinary Artificial Intelligence Research Institute, Wuhan College","institution_ids":["https://openalex.org/I4210100789"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06500776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"7","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9973999857902527,"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/transformer","display_name":"Transformer","score":0.8036490678787231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7209012508392334},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6532225608825684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6239863634109497},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6152838468551636},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5381217002868652},{"id":"https://openalex.org/keywords/polysemy","display_name":"Polysemy","score":0.4854584336280823},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4443024694919586},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39193764328956604},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07366383075714111}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.8036490678787231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7209012508392334},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6532225608825684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6239863634109497},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6152838468551636},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5381217002868652},{"id":"https://openalex.org/C2780276568","wikidata":"https://www.wikidata.org/wiki/Q191928","display_name":"Polysemy","level":2,"score":0.4854584336280823},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4443024694919586},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39193764328956604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07366383075714111},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3744903","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3744903","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2804221886","https://openalex.org/W2950281195","https://openalex.org/W2963718112","https://openalex.org/W2998098272","https://openalex.org/W3106756765","https://openalex.org/W4200280488","https://openalex.org/W4285140393","https://openalex.org/W4297802388","https://openalex.org/W4299527668","https://openalex.org/W4307122251","https://openalex.org/W4312293662","https://openalex.org/W4320802318","https://openalex.org/W4378192002","https://openalex.org/W4383747235","https://openalex.org/W4385624279","https://openalex.org/W4388605937","https://openalex.org/W4388860580","https://openalex.org/W4389988809","https://openalex.org/W4391543666","https://openalex.org/W4391991960","https://openalex.org/W4393397422","https://openalex.org/W4394828356","https://openalex.org/W4395448469","https://openalex.org/W4396918568","https://openalex.org/W4399954566","https://openalex.org/W4400490287","https://openalex.org/W4400526977","https://openalex.org/W4401247894","https://openalex.org/W4401379766","https://openalex.org/W4401756784","https://openalex.org/W4402727850","https://openalex.org/W4402906604","https://openalex.org/W4406288888","https://openalex.org/W4406354469","https://openalex.org/W4411411694"],"related_works":["https://openalex.org/W4281476908","https://openalex.org/W4288365749","https://openalex.org/W2936497627","https://openalex.org/W3013624417","https://openalex.org/W4287826556","https://openalex.org/W3098382480","https://openalex.org/W4287598411","https://openalex.org/W2495256954","https://openalex.org/W3100913109","https://openalex.org/W3198458223"],"abstract_inverted_index":{"This":[0],"research":[1],"addresses":[2],"the":[3,14,17,67,81,86,97],"limitations":[4],"of":[5,19,92],"existing":[6,77],"entity-naming":[7],"algorithms":[8],"in":[9,96,107],"natural":[10],"language":[11],"processing":[12],"when":[13],"algorithm":[15],"faces":[16],"complexities":[18],"polysemy":[20],"and":[21,65],"intricate":[22],"sentence":[23],"structures.":[24],"We":[25],"propose":[26],"a":[27,44,71,89,120],"novel":[28],"Transformer-multi-level":[29],"fusion":[30,46],"recurrent":[31,47],"Neural":[32],"Network":[33],"(T-MFRNN)":[34],"model":[35,84],"that":[36],"integrates":[37],"transformer-based":[38],"layers":[39],"for":[40,123],"contextual":[41],"understanding":[42],"with":[43],"multi-level":[45],"neural":[48],"network":[49],"to":[50,76,94,103],"capture":[51],"temporal":[52],"dependencies.":[53],"Through":[54],"rigorous":[55],"experimentation":[56],"on":[57],"prominent":[58],"NLP":[59],"models":[60],"like":[61],"BERT,":[62],"GPT2,":[63],"ELECTRA,":[64],"XNet,":[66],"proposed":[68],"T-MFRNN":[69,87,112],"demonstrated":[70],"significant":[72],"performance":[73,115],"enhancement.":[74],"Compared":[75],"methods,":[78],"such":[79],"as":[80,119],"boundary":[82],"assembly":[83],"(BAM),":[85],"exhibits":[88],"marked":[90],"improvement":[91],"up":[93],"18.66%":[95],"F1-score,":[98],"highlighting":[99],"its":[100,117],"superior":[101],"ability":[102],"accurately":[104],"label":[105],"entities":[106],"complex":[108],"biomedical":[109,124],"texts.":[110],"The":[111],"model\u2019s":[113],"outstanding":[114],"underscores":[116],"potential":[118],"robust":[121],"solution":[122],"entity":[125],"naming":[126],"applications.":[127]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}