{"id":"https://openalex.org/W4414231178","doi":"https://doi.org/10.1109/ialp68296.2024.11156876","title":"LLM-Enhanced Spoken Named Entity Recognition Leveraging ASR N-Best Hypotheses","display_name":"LLM-Enhanced Spoken Named Entity Recognition Leveraging ASR N-Best Hypotheses","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4414231178","doi":"https://doi.org/10.1109/ialp68296.2024.11156876"},"language":"en","primary_location":{"id":"doi:10.1109/ialp68296.2024.11156876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp68296.2024.11156876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-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":null,"display_name":"Farhan Azmi","orcid":null},"institutions":[{"id":"https://openalex.org/I168639165","display_name":"Singapore Institute of Technology","ror":"https://ror.org/01v2c2791","country_code":"SG","type":"education","lineage":["https://openalex.org/I168639165"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Farhan Azmi","raw_affiliation_strings":["Singapore Institute of Technology,Infocomm Technology,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute of Technology,Infocomm Technology,Singapore","institution_ids":["https://openalex.org/I168639165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047323439","display_name":"Rong Tong","orcid":"https://orcid.org/0000-0002-2034-9272"},"institutions":[{"id":"https://openalex.org/I168639165","display_name":"Singapore Institute of Technology","ror":"https://ror.org/01v2c2791","country_code":"SG","type":"education","lineage":["https://openalex.org/I168639165"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rong Tong","raw_affiliation_strings":["Singapore Institute of Technology,Infocomm Technology,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute of Technology,Infocomm Technology,Singapore","institution_ids":["https://openalex.org/I168639165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.11526305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"153","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9965999722480774,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9965999722480774,"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":0.9955000281333923,"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/T12031","display_name":"Speech and dialogue systems","score":0.9750999808311462,"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/vocabulary","display_name":"Vocabulary","score":0.6057000160217285},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.5103999972343445},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.3952000141143799},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.36570000648498535},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.3249000012874603},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.32260000705718994},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3172999918460846},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.31450000405311584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.814300000667572},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6863999962806702},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6513000130653381},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6057000160217285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5184000134468079},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.5103999972343445},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.36570000648498535},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.32260000705718994},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C541956065","wikidata":"https://www.wikidata.org/wiki/Q2250680","display_name":"Speech error","level":3,"score":0.262800008058548},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C54953205","wikidata":"https://www.wikidata.org/wiki/Q4142201","display_name":"Speech analytics","level":4,"score":0.2583000063896179},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C2777889803","wikidata":"https://www.wikidata.org/wiki/Q25047676","display_name":"Named entity","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp68296.2024.11156876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp68296.2024.11156876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Identifying":[0],"Personally":[1],"Identifiable":[2],"Information":[3],"(PII)":[4],"from":[5,58,120],"spoken":[6,19],"documents":[7],"is":[8,66],"crucial":[9],"for":[10,68],"privacy":[11],"preservation":[12],"in":[13,116],"speech":[14,59,77],"processing.":[15],"Unlike":[16],"written":[17],"text,":[18],"language":[20],"exhibits":[21],"greater":[22],"variability":[23],"due":[24],"to":[25,55,81,103,136],"factors":[26],"such":[27],"as":[28],"accent,":[29],"emotion,":[30],"hesitation,":[31],"and":[32,72,107,133,167,175],"vocabulary":[33],"choice,":[34],"which":[35],"can":[36,79],"complicate":[37],"PII":[38,57,70,85,108,155],"detection.":[39,86],"A":[40],"standard":[41],"approach":[42],"involves":[43],"using":[44],"Automatic":[45],"Speech":[46],"Recognition":[47,53],"(ASR)":[48],"followed":[49],"by":[50],"Named":[51],"Entity":[52],"(NER)":[54],"identify":[56],"input.":[60],"However,":[61],"the":[62,73,111,117,121,138,145,159,164],"accuracy":[63],"of":[64,76],"ASR":[65,82,102,122],"pivotal":[67],"effective":[69],"discovery,":[71],"inherent":[74],"complexities":[75],"production":[78],"lead":[80],"errors,":[83],"hindering":[84],"To":[87],"address":[88],"this":[89],"limitation,":[90],"we":[91],"propose":[92],"a":[93,150],"novel":[94],"method":[95],"that":[96,144],"integrates":[97],"an":[98],"LLM-based":[99,146],"module":[100],"after":[101],"perform":[104],"error":[105,147],"correction":[106,148],"tagging,":[109],"leveraging":[110],"richer":[112],"contextual":[113],"information":[114],"available":[115],"n-best":[118,160],"outputs":[119],"system.":[123],"We":[124],"systematically":[125],"investigate":[126],"various":[127],"prompting":[128,169],"strategies,":[129],"including":[130],"Zero-shot,":[131],"Few-shot,":[132],"Chain-of-Thought":[134,168],"prompting,":[135],"guide":[137],"LLM.":[139],"Our":[140],"experimental":[141],"results":[142],"demonstrate":[143],"yields":[149],"substantial":[151],"F1":[152,165],"improvement":[153],"on":[154],"tagging.":[156],"Furthermore,":[157],"incorporating":[158],"list":[161],"consistently":[162],"improves":[163],"score,":[166],"outperforms":[170],"other":[171],"strategies":[172],"like":[173],"Zero-shot":[174],"Few-shot":[176],"prompting.":[177]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}