{"id":"https://openalex.org/W4415427950","doi":"https://doi.org/10.3233/faia251357","title":"Enhancing Few Shot Named Entity Recognition via Label Semantic Description and Diversity Text","display_name":"Enhancing Few Shot Named Entity Recognition via Label Semantic Description and Diversity Text","publication_year":2025,"publication_date":"2025-10-21","ids":{"openalex":"https://openalex.org/W4415427950","doi":"https://doi.org/10.3233/faia251357"},"language":null,"primary_location":{"id":"doi:10.3233/faia251357","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251357","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia251357","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106858960","display_name":"Hui Wang","orcid":"https://orcid.org/0009-0000-1641-1590"},"institutions":[{"id":"https://openalex.org/I21642278","display_name":"Ningxia University","ror":"https://ror.org/04j7b2v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I21642278"]},{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA","CN"],"is_corresponding":true,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence, Co-founded by Ningxia Municipality and Ministry of Education, China","Ningxia Key Laboratory of Artificial Intelligence and Information Security for Channeling Computing Resources from the East to the West, China","School of Information Engineering, Ningxia University, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence, Co-founded by Ningxia Municipality and Ministry of Education, China","institution_ids":["https://openalex.org/I21642278"]},{"raw_affiliation_string":"Ningxia Key Laboratory of Artificial Intelligence and Information Security for Channeling Computing Resources from the East to the West, China","institution_ids":["https://openalex.org/I4210164862"]},{"raw_affiliation_string":"School of Information Engineering, Ningxia University, China","institution_ids":["https://openalex.org/I21642278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002495606","display_name":"Fang Du","orcid":"https://orcid.org/0000-0001-8770-9757"},"institutions":[{"id":"https://openalex.org/I21642278","display_name":"Ningxia University","ror":"https://ror.org/04j7b2v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I21642278"]},{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Fang Du","raw_affiliation_strings":["Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence, Co-founded by Ningxia Municipality and Ministry of Education, China","Ningxia Key Laboratory of Artificial Intelligence and Information Security for Channeling Computing Resources from the East to the West, China","School of Information Engineering, Ningxia University, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence, Co-founded by Ningxia Municipality and Ministry of Education, China","institution_ids":["https://openalex.org/I21642278"]},{"raw_affiliation_string":"Ningxia Key Laboratory of Artificial Intelligence and Information Security for Channeling Computing Resources from the East to the West, China","institution_ids":["https://openalex.org/I4210164862"]},{"raw_affiliation_string":"School of Information Engineering, Ningxia University, China","institution_ids":["https://openalex.org/I21642278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052493478","display_name":"Jian Li","orcid":"https://orcid.org/0009-0007-3264-9161"},"institutions":[{"id":"https://openalex.org/I21642278","display_name":"Ningxia University","ror":"https://ror.org/04j7b2v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I21642278"]},{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Jiakun Li","raw_affiliation_strings":["Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence, Co-founded by Ningxia Municipality and Ministry of Education, China","Ningxia Key Laboratory of Artificial Intelligence and Information Security for Channeling Computing Resources from the East to the West, China","School of Information Engineering, Ningxia University, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence, Co-founded by Ningxia Municipality and Ministry of Education, China","institution_ids":["https://openalex.org/I21642278"]},{"raw_affiliation_string":"Ningxia Key Laboratory of Artificial Intelligence and Information Security for Channeling Computing Resources from the East to the West, China","institution_ids":["https://openalex.org/I4210164862"]},{"raw_affiliation_string":"School of Information Engineering, Ningxia University, China","institution_ids":["https://openalex.org/I21642278"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102569678","display_name":"Yu Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I21642278","display_name":"Ningxia University","ror":"https://ror.org/04j7b2v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I21642278"]},{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Yu Feng","raw_affiliation_strings":["Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence, Co-founded by Ningxia Municipality and Ministry of Education, China","Ningxia Key Laboratory of Artificial Intelligence and Information Security for Channeling Computing Resources from the East to the West, China","School of Information Engineering, Ningxia University, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence, Co-founded by Ningxia Municipality and Ministry of Education, China","institution_ids":["https://openalex.org/I21642278"]},{"raw_affiliation_string":"Ningxia Key Laboratory of Artificial Intelligence and Information Security for Channeling Computing Resources from the East to the West, China","institution_ids":["https://openalex.org/I4210164862"]},{"raw_affiliation_string":"School of Information Engineering, Ningxia University, China","institution_ids":["https://openalex.org/I21642278"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5106858960"],"corresponding_institution_ids":["https://openalex.org/I21642278","https://openalex.org/I4210164862"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.49516611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9983999729156494,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9627000093460083,"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/entity-linking","display_name":"Entity linking","score":0.5343000292778015},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.4503999948501587},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4156999886035919},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.41119998693466187},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3937999904155731},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.36329999566078186},{"id":"https://openalex.org/keywords/semantic-role-labeling","display_name":"Semantic role labeling","score":0.36149999499320984},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3262999951839447}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8253999948501587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6697999835014343},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6686000227928162},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.5343000292778015},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.4503999948501587},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4156999886035919},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3937999904155731},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.36329999566078186},{"id":"https://openalex.org/C67277372","wikidata":"https://www.wikidata.org/wiki/Q7449085","display_name":"Semantic role labeling","level":3,"score":0.36149999499320984},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3458000123500824},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3231000006198883},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.29899999499320984},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.2906999886035919},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.2904999852180481},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.29010000824928284},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2743000090122223},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.25600001215934753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia251357","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251357","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia251357","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251357","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"have":[4],"demonstrated":[5],"remarkable":[6],"few-shot":[7],"learning":[8],"capabilities":[9],"on":[10,163],"Named":[11],"Entity":[12],"Recognition":[13],"(NER)":[14],"tasks,":[15],"particularly":[16],"through":[17],"prompt-based":[18,176],"approaches":[19],"that":[20,92,113,172],"avoid":[21],"additional":[22],"fine-tuning.":[23],"However,":[24],"despite":[25],"the":[26,42,70,133],"powerful":[27],"generative":[28],"and":[29,61,98,123,158,166,178],"reasoning":[30,160],"abilities":[31],"of":[32,41,137],"LLMs,":[33],"two":[34],"critical":[35],"challenges":[36],"remain:":[37],"(1)":[38],"semantic":[39,96,106,116,135,156],"discrepancy":[40],"same":[43],"label":[44,95,105,115],"across":[45],"different":[46],"datasets,":[47],"which":[48,68],"leads":[49],"to":[50,57,73,103,130],"recognition":[51],"errors":[52],"when":[53],"using":[54],"general":[55,165],"labels":[56],"guide":[58],"model":[59],"outputs,":[60],"(2)":[62],"contextual":[63,142],"homogeneity":[64],"in":[65],"in-context":[66,152],"examples,":[67],"limits":[69],"model\u2019s":[71],"ability":[72],"distinguish":[74],"fine-grained":[75],"entity":[76,138],"types":[77],"during":[78],"inference.":[79],"To":[80,140],"address":[81,141],"these":[82],"challenges,":[83],"we":[84,108,144],"propose":[85],"LSDNER,":[86],"a":[87,110,146],"dual-faceted":[88],"prompt":[89],"construction":[90],"strategy":[91,149],"integrates":[93],"structured":[94,111],"descriptions":[97,117],"promotes":[99],"context":[100],"diversity.":[101],"Specifically,":[102],"tackle":[104],"inconsistency,":[107],"introduce":[109],"framework":[112],"organizes":[114],"into":[118],"definitions,":[119],"attributes,":[120],"relational":[121],"features,":[122],"behavioral":[124],"characteristics.":[125],"This":[126],"representation":[127],"enables":[128],"LLMs":[129],"better":[131],"understand":[132],"dataset-specific":[134],"meanings":[136],"labels.":[139],"monotony,":[143],"devise":[145],"diversity-driven":[147],"sampling":[148],"for":[150],"selecting":[151],"demonstrations,":[153],"thereby":[154],"expanding":[155],"coverage":[157],"promoting":[159],"capabilities.":[161],"Experiments":[162],"three":[164],"four":[167],"domain-specific":[168],"NER":[169],"datasets":[170],"demonstrate":[171],"our":[173],"approach":[174],"surpasses":[175],"methods":[177],"achieves":[179],"competitive":[180],"results":[181],"with":[182],"supervised":[183],"baselines.":[184],"Our":[185],"code":[186],"is":[187],"available":[188],"at:":[189],"https://github.com/hui68633/LSDNER.":[190]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-24T00:00:00"}