{"id":"https://openalex.org/W4403565837","doi":"https://doi.org/10.1080/08839514.2024.2413817","title":"Enhancing Metaphor Recognition of Literary Works in Applied Artificial Intelligence: A Multi-Level Approach with Bi-LSTM and CNN Fusion","display_name":"Enhancing Metaphor Recognition of Literary Works in Applied Artificial Intelligence: A Multi-Level Approach with Bi-LSTM and CNN Fusion","publication_year":2024,"publication_date":"2024-10-19","ids":{"openalex":"https://openalex.org/W4403565837","doi":"https://doi.org/10.1080/08839514.2024.2413817"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2024.2413817","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2413817","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/08839514.2024.2413817","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101952601","display_name":"Na Zhao","orcid":"https://orcid.org/0000-0002-0353-5671"},"institutions":[{"id":"https://openalex.org/I27462735","display_name":"Yulin Normal University","ror":"https://ror.org/00445hv47","country_code":"CN","type":"education","lineage":["https://openalex.org/I27462735"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Zhao","raw_affiliation_strings":["College of Literature and Media, Yulin Normal University, Yulin, Guangxi Zhuang Autonomous Region, China"],"affiliations":[{"raw_affiliation_string":"College of Literature and Media, Yulin Normal University, Yulin, Guangxi Zhuang Autonomous Region, China","institution_ids":["https://openalex.org/I27462735"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005946285","display_name":"Weijie Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I27462735","display_name":"Yulin Normal University","ror":"https://ror.org/00445hv47","country_code":"CN","type":"education","lineage":["https://openalex.org/I27462735"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weijie Zhao","raw_affiliation_strings":["College of Art and design, Yulin Normal University, Yulin, Guangxi Zhuang Autonomous Region, China"],"affiliations":[{"raw_affiliation_string":"College of Art and design, Yulin Normal University, Yulin, Guangxi Zhuang Autonomous Region, China","institution_ids":["https://openalex.org/I27462735"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005946285"],"corresponding_institution_ids":["https://openalex.org/I27462735"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":0.533,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71179758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"38","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11148","display_name":"Language, Metaphor, and Cognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T11795","display_name":"Humor Studies and Applications","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9787999987602234,"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/computer-science","display_name":"Computer science","score":0.876763105392456},{"id":"https://openalex.org/keywords/metaphor","display_name":"Metaphor","score":0.8067507743835449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6309669613838196},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.45913058519363403},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43107447028160095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3821617364883423},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34094321727752686},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09910613298416138}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.876763105392456},{"id":"https://openalex.org/C2778311575","wikidata":"https://www.wikidata.org/wiki/Q18534","display_name":"Metaphor","level":2,"score":0.8067507743835449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6309669613838196},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.45913058519363403},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43107447028160095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3821617364883423},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34094321727752686},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09910613298416138},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2024.2413817","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2413817","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:674a994f50ff4d789d11b66a0b16e2dc","is_oa":true,"landing_page_url":"https://doaj.org/article/674a994f50ff4d789d11b66a0b16e2dc","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":"Applied Artificial Intelligence, Vol 38, Iss 1 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2024.2413817","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2413817","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W574867956","https://openalex.org/W1516184288","https://openalex.org/W2126530744","https://openalex.org/W2346975490","https://openalex.org/W2515256889","https://openalex.org/W2806592685","https://openalex.org/W2806685047","https://openalex.org/W2806806808","https://openalex.org/W2899963683","https://openalex.org/W2899971521","https://openalex.org/W2911658349","https://openalex.org/W2949191839","https://openalex.org/W2962974772","https://openalex.org/W2971350424","https://openalex.org/W2994199588","https://openalex.org/W3012159372","https://openalex.org/W3045934950","https://openalex.org/W3103956726","https://openalex.org/W3109270650","https://openalex.org/W3187948083","https://openalex.org/W3200229346","https://openalex.org/W4214866883","https://openalex.org/W4223964439","https://openalex.org/W4310863184","https://openalex.org/W4321371833"],"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/W2107482851","https://openalex.org/W4390300014","https://openalex.org/W2048412262","https://openalex.org/W1564905418","https://openalex.org/W2068905513"],"abstract_inverted_index":{"Understanding":[0],"metaphorical":[1],"language":[2,33],"is":[3,37],"essential":[4],"for":[5,27,79,103],"AI":[6,28],"to":[7,30,74,92,115,136],"interpret":[8],"and":[9,44,70,90],"communicate":[10],"with":[11,19],"humans":[12],"accurately.":[13],"However,":[14],"current":[15],"methods":[16],"often":[17],"struggle":[18],"the":[20,105,117],"complexity":[21],"of":[22,59,108,120],"metaphors,":[23,132],"making":[24],"it":[25],"difficult":[26],"systems":[29],"understand":[31,137],"human":[32],"fully.":[34],"Recognizing":[35],"metaphors":[36,109],"challenging":[38],"because":[39],"they":[40],"are":[41],"frequently":[42],"ambiguous":[43],"depend":[45],"on":[46],"context.":[47],"In":[48],"this":[49,126],"study,":[50],"we":[51,98],"propose":[52],"a":[53,57,76,100,111],"new":[54,101],"approach":[55],"using":[56,110],"combination":[58],"Bi-directional":[60],"Long":[61],"Short-Term":[62],"Memory":[63],"(Bi-LSTM)":[64],"networks,":[65],"Convolutional":[66],"Neural":[67],"Networks":[68],"(CNN),":[69],"uni-directional":[71],"LSTM":[72],"components":[73],"create":[75],"multi-level":[77],"model":[78,83,114,127],"recognizing":[80,104,131],"metaphors.":[81],"Our":[82,122],"uses":[84],"various":[85],"features,":[86],"including":[87],"dependency,":[88],"semantics,":[89],"part-of-speech,":[91],"improve":[93],"its":[94],"learning":[95],"ability.":[96],"Additionally,":[97],"introduce":[99],"method":[102],"emotional":[106,118],"context":[107],"random":[112],"walk":[113],"determine":[116],"tone":[119],"words.":[121],"results":[123],"show":[124],"that":[125],"improves":[128],"performance":[129],"in":[130],"enhancing":[133],"AI\u2019s":[134],"ability":[135],"them.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}