{"id":"https://openalex.org/W4409363040","doi":"https://doi.org/10.1609/aaai.v39i24.34715","title":"Few-Shot, No Problem: Descriptive Continual Relation Extraction","display_name":"Few-Shot, No Problem: Descriptive Continual Relation Extraction","publication_year":2025,"publication_date":"2025-04-11","ids":{"openalex":"https://openalex.org/W4409363040","doi":"https://doi.org/10.1609/aaai.v39i24.34715"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v39i24.34715","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i24.34715","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/34715/36870","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/34715/36870","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045213092","display_name":"Nguy\u1ec5n Xu\u00e2n Th\u00e0nh","orcid":"https://orcid.org/0000-0003-3984-7877"},"institutions":[{"id":"https://openalex.org/I4210122443","display_name":"Unchained Labs (United States)","ror":"https://ror.org/02hqgbq45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nguyen Xuan Thanh","raw_affiliation_strings":["Oraichain Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oraichain Labs","institution_ids":["https://openalex.org/I4210122443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058292518","display_name":"Anh Duc Le","orcid":"https://orcid.org/0000-0002-9359-9686"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Anh Duc Le","raw_affiliation_strings":["Hanoi University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064602068","display_name":"Quyen Tran","orcid":"https://orcid.org/0000-0003-2029-2584"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quyen Tran","raw_affiliation_strings":["VinAI Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VinAI Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101363842","display_name":"Thanh-Thien Le","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thanh-Thien Le","raw_affiliation_strings":["VinAI Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VinAI Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022485068","display_name":"Linh Ngo Van","orcid":"https://orcid.org/0000-0002-0011-5137"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Linh Ngo Van","raw_affiliation_strings":["Hanoi University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026113034","display_name":"Thien Huu Nguyen","orcid":"https://orcid.org/0000-0003-3768-4736"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thien Huu Nguyen","raw_affiliation_strings":["University of Oregon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oregon","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6376,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59478022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"39","issue":"24","first_page":"25282","last_page":"25290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9552000164985657,"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":0.9552000164985657,"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/shot","display_name":"Shot (pellet)","score":0.8206607103347778},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6649063229560852},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5515913963317871},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4468565285205841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3581758737564087},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.14340347051620483},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13101720809936523},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.10118111968040466}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.8206607103347778},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6649063229560852},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5515913963317871},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4468565285205841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3581758737564087},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.14340347051620483},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13101720809936523},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.10118111968040466},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v39i24.34715","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i24.34715","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/34715/36870","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v39i24.34715","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i24.34715","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/34715/36870","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409363040.pdf","grobid_xml":"https://content.openalex.org/works/W4409363040.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","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"],"abstract_inverted_index":{"Few-shot":[0],"Continual":[1],"Relation":[2],"Extraction":[3],"is":[4],"a":[5,62,68,83,102,115],"crucial":[6],"challenge":[7],"for":[8,75],"enabling":[9],"AI":[10],"systems":[11],"to":[12,16,28,32,72,88],"identify":[13],"and":[14,92,126],"adapt":[15],"evolving":[17],"relationships":[18],"in":[19,41,53],"dynamic":[20],"real-world":[21],"domains.":[22],"Traditional":[23],"memory-based":[24],"approaches":[25],"often":[26],"overfit":[27],"limited":[29],"samples,":[30],"failing":[31],"reinforce":[33],"old":[34],"knowledge,":[35],"with":[36,67],"the":[37,54,110,140],"scarcity":[38],"of":[39],"data":[40,51],"few-shot":[42],"scenarios":[43],"further":[44],"exacerbating":[45],"these":[46,79,97],"issues":[47],"by":[48,142],"hindering":[49],"effective":[50],"augmentation":[52],"latent":[55],"space.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,81,100],"propose":[61],"novel":[63],"retrieval-based":[64,103],"solution,":[65],"starting":[66],"large":[69],"language":[70],"model":[71],"generate":[73],"descriptions":[74],"each":[76,107],"relation.":[77],"From":[78],"descriptions,":[80],"introduce":[82],"bi-encoder":[84],"retrieval":[85],"training":[86],"paradigm":[87],"enrich":[89],"both":[90,122],"sample":[91,108],"class":[93,127],"representation":[94],"learning.":[95],"Leveraging":[96],"enhanced":[98],"representations,":[99],"design":[101],"prediction":[104],"method":[105,137],"where":[106],"\"retrieves\"":[109],"best":[111],"fitting":[112],"relation":[113,123],"via":[114],"reciprocal":[116],"rank":[117],"fusion":[118],"score":[119],"that":[120,135],"integrates":[121],"description":[124],"vectors":[125],"prototypes.":[128],"Extensive":[129],"experiments":[130],"on":[131],"multiple":[132],"datasets":[133],"demonstrate":[134],"our":[136],"significantly":[138],"advances":[139],"state-of-the-art":[141],"maintaining":[143],"robust":[144],"performance":[145],"across":[146],"sequential":[147],"tasks,":[148],"effectively":[149],"addressing":[150],"catastrophic":[151],"forgetting.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}