{"id":"https://openalex.org/W4408352782","doi":"https://doi.org/10.1109/icassp49660.2025.10889090","title":"Class Semantic Prompts Enhanced Prototypical Fusion Method for Few-shot Named Entity Recognition","display_name":"Class Semantic Prompts Enhanced Prototypical Fusion Method for Few-shot Named Entity Recognition","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352782","doi":"https://doi.org/10.1109/icassp49660.2025.10889090"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"https://openalex.org/A5027142928","display_name":"Mei Yu","orcid":"https://orcid.org/0000-0002-5169-4829"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Yu","raw_affiliation_strings":["Tianjin University,School of Future Technology,Tianjin,China,300350"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University,School of Future Technology,Tianjin,China,300350","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuang Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuang Tao","raw_affiliation_strings":["Tianjin University,School of Future Technology,Tianjin,China,300350"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University,School of Future Technology,Tianjin,China,300350","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047744254","display_name":"Mankun Zhao","orcid":"https://orcid.org/0000-0003-1571-8771"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mankun Zhao","raw_affiliation_strings":["Tianjin University,College of Intelligence and Computing,Tianjin,China,300350"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University,College of Intelligence and Computing,Tianjin,China,300350","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103029947","display_name":"Tianyi Xu","orcid":"https://orcid.org/0000-0003-3290-3581"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyi Xu","raw_affiliation_strings":["Tianjin University,College of Intelligence and Computing,Tianjin,China,300350"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University,College of Intelligence and Computing,Tianjin,China,300350","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043659898","display_name":"Zechen Meng","orcid":"https://orcid.org/0000-0002-1083-3837"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zechen Meng","raw_affiliation_strings":["Tianjin University,College of Intelligence and Computing,Tianjin,China,300350"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University,College of Intelligence and Computing,Tianjin,China,300350","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056652781","display_name":"Wenbin Zhang","orcid":"https://orcid.org/0000-0001-8407-9008"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Zhang","raw_affiliation_strings":["Tianjin University,School of Future Technology,Tianjin,China,300350"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University,School of Future Technology,Tianjin,China,300350","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054925527","display_name":"Jian Yu","orcid":"https://orcid.org/0000-0002-0832-7775"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yu","raw_affiliation_strings":["Tianjin University,College of Intelligence and Computing,Tianjin,China,300350"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University,College of Intelligence and Computing,Tianjin,China,300350","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":1.6508,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85023943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9966999888420105,"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":0.9966999888420105,"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":0.9950000047683716,"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/T12479","display_name":"Web Application Security Vulnerabilities","score":0.9154000282287598,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7285152673721313},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6021339893341064},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5930666923522949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5904902815818787},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5737661123275757},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.533108115196228},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3517926335334778},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3442597985267639},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09248590469360352},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07722088694572449}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7285152673721313},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6021339893341064},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5930666923522949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5904902815818787},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5737661123275757},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.533108115196228},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3517926335334778},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3442597985267639},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09248590469360352},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07722088694572449},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2098700435","https://openalex.org/W2144578941","https://openalex.org/W2190333735","https://openalex.org/W2296283641","https://openalex.org/W2299976354","https://openalex.org/W2760505947","https://openalex.org/W2904415434","https://openalex.org/W2962902328","https://openalex.org/W2963625095","https://openalex.org/W3105470358","https://openalex.org/W3177312484","https://openalex.org/W3200787399","https://openalex.org/W3207474960","https://openalex.org/W4224095956","https://openalex.org/W4385571079","https://openalex.org/W4389518918","https://openalex.org/W4389829773","https://openalex.org/W6607105109","https://openalex.org/W6755207826","https://openalex.org/W6757817989"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W2325697621"],"abstract_inverted_index":{"Few-shot":[0],"named":[1,7],"entity":[2],"recognition":[3],"is":[4,14,28],"to":[5,30,64,71,75],"identify":[6],"entities":[8],"in":[9],"scenarios":[10],"where":[11],"labeled":[12],"data":[13],"scarce.":[15],"Existing":[16],"prototype":[17,33,61,78,86,96,99],"building":[18],"methods":[19],"ignore":[20],"the":[21,76,90,123],"use":[22],"of":[23,125],"class":[24,48],"semantic":[25,49],"and":[26,79,84,93],"it":[27],"difficult":[29],"obtain":[31,80],"accurate":[32,83],"representations":[34],"only":[35],"by":[36],"relying":[37],"on":[38,106],"few":[39],"support":[40],"samples.":[41],"In":[42,69],"this":[43],"paper,":[44],"we":[45,57,88],"propose":[46],"a":[47,59,81,101],"prompts":[50],"enhanced":[51],"prototypical":[52],"fusion":[53],"method":[54,114],"(CSFP).":[55],"Specifically,":[56],"design":[58],"class-semantic":[60,95],"that":[62,112],"adapts":[63],"current":[65],"task":[66],"through":[67,100],"prompts.":[68],"order":[70],"add":[72],"intra-class":[73],"similarity":[74],"existing":[77,98],"more":[82],"stable":[85],"representation,":[87],"consider":[89],"samples":[91],"distribution":[92],"fuse":[94],"with":[97],"weighted":[102],"strategy.":[103],"Experimental":[104],"results":[105],"two":[107],"few-shot":[108],"NER":[109],"benchmarks":[110],"show":[111],"our":[113,126],"outperforms":[115],"previous":[116],"SOTA":[117],"methods.":[118],"The":[119],"analysis":[120],"further":[121],"verifies":[122],"effectiveness":[124],"method.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
