{"id":"https://openalex.org/W4402353307","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650108","title":"A Combination of LERT and CNN-BILSTM Models for Chinese Music Named Entity Recognition","display_name":"A Combination of LERT and CNN-BILSTM Models for Chinese Music Named Entity Recognition","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353307","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650108"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5085557632","display_name":"C S Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoguo Wang","raw_affiliation_strings":["Shandong Normal University,School of Information Science and Engineering,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Normal University,School of Information Science and Engineering,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425167","display_name":"Liang Zhang","orcid":"https://orcid.org/0000-0001-9884-5199"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["Shandong University,Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE),Shandong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University,Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE),Shandong,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101992483","display_name":"Wei Yan","orcid":"https://orcid.org/0000-0002-9692-7470"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yan","raw_affiliation_strings":["Shandong Normal University,School of Information Science and Engineering,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Normal University,School of Information Science and Engineering,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.98580002784729,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9761000275611877,"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":0.6906234622001648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46351587772369385},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4255774915218353},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3882005214691162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6906234622001648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46351587772369385},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4255774915218353},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3882005214691162}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1934019294","https://openalex.org/W1940872118","https://openalex.org/W2042188227","https://openalex.org/W2064675550","https://openalex.org/W2141099517","https://openalex.org/W2147880316","https://openalex.org/W2250539671","https://openalex.org/W2296283641","https://openalex.org/W2587373263","https://openalex.org/W2914759234","https://openalex.org/W2962739339","https://openalex.org/W2962902328","https://openalex.org/W2962904552","https://openalex.org/W2963625095","https://openalex.org/W2975429091","https://openalex.org/W2976444281","https://openalex.org/W4308828465","https://openalex.org/W4385245566","https://openalex.org/W6632360823","https://openalex.org/W6636393250","https://openalex.org/W6636510571","https://openalex.org/W6640267182","https://openalex.org/W6640362995","https://openalex.org/W6682082992","https://openalex.org/W6693620423","https://openalex.org/W6733314439","https://openalex.org/W6767719158","https://openalex.org/W6768248635","https://openalex.org/W6846585288"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Named":[0],"Entity":[1],"Recognition":[2],"(NER)":[3],"is":[4,42],"an":[5,174],"important":[6],"task":[7],"in":[8,31,64,104,130,151],"the":[9,17,34,46,57,78,94,124,152,193,203,209],"field":[10,95],"of":[11,51,60,67,96,126,177,196,208],"natural":[12],"language":[13,117],"processing(NLP),":[14],"serving":[15],"as":[16,54,56,83,112],"foundation":[18],"for":[19,33,148,185],"knowledge":[20,118],"graphs,":[21],"recommendation":[22],"systems,":[23],"machine":[24,182],"translation,":[25],"and":[26,48,86,109,119,134,173,205],"other":[27],"applications.":[28],"However,":[29],"progress":[30],"NER":[32,90,128],"music":[35,52,75,154,186,198],"domain":[36],"has":[37],"been":[38,101],"relatively":[39],"slow.":[40],"This":[41],"mainly":[43],"due":[44],"to":[45,93,180],"diverse":[47],"irregular":[49],"nature":[50],"entities,":[53,200],"well":[55],"labor-intensive":[58],"process":[59],"entity":[61,149],"annotation,":[62],"resulting":[63],"a":[65,89,142],"lack":[66],"publicly":[68],"available":[69],"datasets,":[70],"therefore,":[71],"this":[72,139],"paper":[73,140],"organizes":[74],"texts":[76],"on":[77],"internet":[79],"through":[80],"techniques":[81],"such":[82],"data":[84],"mining":[85],"NLP,":[87],"constructing":[88],"dataset":[91],"tailored":[92],"music.":[97],"Pre-trained":[98],"models":[99],"have":[100],"widely":[102],"adopted":[103],"various":[105],"fields,":[106],"including":[107],"NLP":[108],"computer":[110],"vision,":[111],"they":[113],"can":[114],"learn":[115],"rich":[116],"semantic":[120,194],"representations.":[121],"To":[122],"address":[123],"limitations":[125],"existing":[127],"methods":[129,184],"capturing":[131],"contextual":[132],"information":[133,195],"handling":[135],"word":[136],"sense":[137],"disambiguation,":[138],"proposes":[141],"deep":[143],"learning":[144],"model":[145],"called":[146],"LERT-CNN-BILSTM-CRF":[147],"recognition":[150],"Chinese":[153],"domain.":[155],"Experimental":[156],"results":[157],"demonstrate":[158],"that":[159],"our":[160,188],"proposed":[161,189],"method":[162],"achieves":[163],"good":[164],"performance,":[165],"with":[166],"precision":[167],"reaching":[168,171],"93.87%,":[169],"recall":[170],"95.06%,":[172],"F1":[175],"score":[176],"94.46%.":[178],"Compared":[179],"previous":[181],"learning-based":[183],"NER,":[187],"approach":[190],"better":[191],"captures":[192],"complex":[197],"named":[199],"thereby":[201],"improving":[202],"performance":[204],"generalization":[206],"ability":[207],"model.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}