{"id":"https://openalex.org/W4413718525","doi":"https://doi.org/10.3390/bdcc9090218","title":"Applying Additional Auxiliary Context Using Large Language Model for Metaphor Detection","display_name":"Applying Additional Auxiliary Context Using Large Language Model for Metaphor Detection","publication_year":2025,"publication_date":"2025-08-25","ids":{"openalex":"https://openalex.org/W4413718525","doi":"https://doi.org/10.3390/bdcc9090218"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc9090218","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9090218","pdf_url":"https://www.mdpi.com/2504-2289/9/9/218/pdf?version=1756131650","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/9/9/218/pdf?version=1756131650","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102339150","display_name":"Takuya Hayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I6178835","display_name":"Ibaraki University","ror":"https://ror.org/00sjd5653","country_code":"JP","type":"education","lineage":["https://openalex.org/I6178835"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takuya Hayashi","raw_affiliation_strings":["Major in Computer and Information Sciences, Graduate School of Science and Engineering, Ibaraki University, 4-12-1, Nakanarusawa, Hitachi 316-8511, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Major in Computer and Information Sciences, Graduate School of Science and Engineering, Ibaraki University, 4-12-1, Nakanarusawa, Hitachi 316-8511, Ibaraki, Japan","institution_ids":["https://openalex.org/I6178835"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068813062","display_name":"Minoru Sasaki","orcid":"https://orcid.org/0000-0002-8101-2796"},"institutions":[{"id":"https://openalex.org/I6178835","display_name":"Ibaraki University","ror":"https://ror.org/00sjd5653","country_code":"JP","type":"education","lineage":["https://openalex.org/I6178835"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Minoru Sasaki","raw_affiliation_strings":["Dapartment of Computer and Information Sciences, College of Engineering, Ibaraki University, 4-12-1, Nakanarusawa, Hitachi 316-8511, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Dapartment of Computer and Information Sciences, College of Engineering, Ibaraki University, 4-12-1, Nakanarusawa, Hitachi 316-8511, Ibaraki, Japan","institution_ids":["https://openalex.org/I6178835"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102339150"],"corresponding_institution_ids":["https://openalex.org/I6178835"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22122018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"9","first_page":"218","last_page":"218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11148","display_name":"Language, Metaphor, and Cognition","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11148","display_name":"Language, Metaphor, and Cognition","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9445000290870667,"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":0.9175000190734863,"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/metaphor","display_name":"Metaphor","score":0.7453299164772034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5951709151268005},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.566965639591217},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5550480484962463},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.4267393946647644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34917742013931274},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.1086021363735199},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.09751895070075989},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.06365874409675598}],"concepts":[{"id":"https://openalex.org/C2778311575","wikidata":"https://www.wikidata.org/wiki/Q18534","display_name":"Metaphor","level":2,"score":0.7453299164772034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5951709151268005},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.566965639591217},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5550480484962463},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4267393946647644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34917742013931274},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.1086021363735199},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.09751895070075989},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.06365874409675598}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/bdcc9090218","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9090218","pdf_url":"https://www.mdpi.com/2504-2289/9/9/218/pdf?version=1756131650","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0d436cb0052d4dabb66a086e6d425e35","is_oa":true,"landing_page_url":"https://doaj.org/article/0d436cb0052d4dabb66a086e6d425e35","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 9, Iss 9, p 218 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc9090218","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9090218","pdf_url":"https://www.mdpi.com/2504-2289/9/9/218/pdf?version=1756131650","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2074803222","display_name":null,"funder_award_id":"25K15242","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413718525.pdf","grobid_xml":"https://content.openalex.org/works/W4413718525.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1593456883","https://openalex.org/W2369400006","https://openalex.org/W2380816171","https://openalex.org/W3143433749","https://openalex.org/W4376458480","https://openalex.org/W4390300014","https://openalex.org/W2048412262","https://openalex.org/W1564905418","https://openalex.org/W2068905513","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Metaphor":[0],"detection":[1,36],"is":[2],"challenging":[3],"in":[4],"natural":[5],"language":[6],"processing":[7],"(NLP)":[8],"because":[9],"it":[10],"requires":[11],"recognizing":[12],"nuanced":[13],"semantic":[14],"shifts":[15],"beyond":[16],"literal":[17],"meaning,":[18],"and":[19,77,103,139,156],"conventional":[20],"models":[21,128],"often":[22],"falter":[23],"when":[24],"contextual":[25],"cues":[26],"are":[27,56,116],"limited.":[28],"We":[29],"propose":[30],"a":[31,65],"method":[32],"to":[33,70,160],"enhance":[34],"metaphor":[35,134,162],"by":[37,45],"augmenting":[38],"input":[39,93],"sentences":[40,54],"with":[41,105],"auxiliary":[42],"context":[43,75,132,137,154],"generated":[44],"ChatGPT.":[46],"In":[47],"our":[48],"approach,":[49],"ChatGPT":[50],"produces":[51],"semantically":[52],"relevant":[53],"that":[55,90,126],"inserted":[57],"before,":[58],"after,":[59],"or":[60],"on":[61,79,82,120],"both":[62],"sides":[63],"of":[64,74],"target":[66],"sentence,":[67],"allowing":[68],"us":[69],"analyze":[71],"the":[72,96,106,110],"impact":[73],"position":[76],"length":[78],"classification.":[80],"Experiments":[81],"three":[83],"benchmark":[84],"datasets":[85],"(MOH-X,":[86],"VUA_All,":[87],"VUA_Verb)":[88],"show":[89],"this":[91,158],"context-enriched":[92],"consistently":[94],"outperforms":[95],"no-context":[97],"baseline":[98],"across":[99],"accuracy,":[100],"precision,":[101],"recall,":[102],"F1-score,":[104],"MOH-X":[107],"dataset":[108],"achieving":[109],"largest":[111],"F1":[112],"gain.":[113],"These":[114],"improvements":[115],"statistically":[117],"significant":[118],"based":[119],"two-tailed":[121],"t-tests.":[122],"Our":[123],"findings":[124],"demonstrate":[125],"generative":[127],"can":[129],"effectively":[130],"enrich":[131],"for":[133],"understanding,":[135],"highlighting":[136],"placement":[138],"quantity":[140],"as":[141],"critical":[142],"factors.":[143],"Finally,":[144],"we":[145],"outline":[146],"future":[147],"directions,":[148],"including":[149],"advanced":[150],"prompt":[151],"engineering,":[152],"optimizing":[153],"lengths,":[155],"extending":[157],"approach":[159],"multilingual":[161],"detection.":[163]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}