{"id":"https://openalex.org/W4416035246","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.1746","title":"RAED: Retrieval-Augmented Entity Description Generation for Emerging Entity Linking and Disambiguation","display_name":"RAED: Retrieval-Augmented Entity Description Generation for Emerging Entity Linking and Disambiguation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416035246","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.1746"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.emnlp-main.1746","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.1746","pdf_url":"https://aclanthology.org/2025.emnlp-main.1746.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.emnlp-main.1746.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094077393","display_name":"Karim Ghonim","orcid":null},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Karim Ghonim","raw_affiliation_strings":["Sapienza University of Rome Babelscape , Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome Babelscape , Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075199715","display_name":"\u202aPere-Llu\u00eds Huguet Cabot","orcid":null},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pere-Llu\u00eds Huguet Cabot","raw_affiliation_strings":["Sapienza University of Rome Babelscape , Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome Babelscape , Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063335795","display_name":"Riccardo Orlando","orcid":null},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Riccardo Orlando","raw_affiliation_strings":["Sapienza University of Rome Babelscape , Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome Babelscape , Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026648049","display_name":"Roberto Navigli","orcid":"https://orcid.org/0000-0003-3831-9706"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Roberto Navigli","raw_affiliation_strings":["Sapienza University of Rome Babelscape , Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome Babelscape , Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5094077393"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1739779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"34427","last_page":"34440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.7519000172615051,"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":0.7519000172615051,"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/T11719","display_name":"Data Quality and Management","score":0.07649999856948853,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.057100001722574234,"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/entity-linking","display_name":"Entity linking","score":0.8916000127792358},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5766000151634216},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4894999861717224},{"id":"https://openalex.org/keywords/named-entity","display_name":"Named entity","score":0.3720000088214874},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.3682999908924103},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.36719998717308044},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.3531999886035919}],"concepts":[{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.8916000127792358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8513000011444092},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5766000151634216},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4894999861717224},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48240000009536743},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4731000065803528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44600000977516174},{"id":"https://openalex.org/C2777889803","wikidata":"https://www.wikidata.org/wiki/Q25047676","display_name":"Named entity","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.36719998717308044},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3434000015258789},{"id":"https://openalex.org/C103593891","wikidata":"https://www.wikidata.org/wiki/Q624546","display_name":"Entity\u2013relationship model","level":3,"score":0.3098999857902527},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25099998712539673}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2025.emnlp-main.1746","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.1746","pdf_url":"https://aclanthology.org/2025.emnlp-main.1746.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1755849","is_oa":true,"landing_page_url":"https://hdl.handle.net/11573/1755849","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.emnlp-main.1746","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.1746","pdf_url":"https://aclanthology.org/2025.emnlp-main.1746.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8779474850","display_name":null,"funder_award_id":"PE0000013-FAIR","funder_id":"https://openalex.org/F4320322510","funder_display_name":"Sapienza Universit\u00e0 di Roma"}],"funders":[{"id":"https://openalex.org/F4320322510","display_name":"Sapienza Universit\u00e0 di Roma","ror":"https://ror.org/02be6w209"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416035246.pdf","grobid_xml":"https://content.openalex.org/works/W4416035246.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Entity":[0,3,135,150,162],"Linking":[1,151,163],"and":[2,33,88],"Disambiguation":[4],"systems":[5,125],"aim":[6],"to":[7,11,73,154],"link":[8],"entity":[9,78,121,146],"mentions":[10],"their":[12,90],"corresponding":[13],"entries,":[14],"typically":[15],"represented":[16],"by":[17,142],"descriptions":[18,91,140],"within":[19],"a":[20,67],"predefined,":[21],"static":[22,55],"knowledge":[23,29,72],"base.Current":[24],"models":[25],"assume":[26],"that":[27,69,103,126,139],"these":[28,54],"bases":[30,89],"are":[31],"complete":[32],"up-to-date,":[34],"rendering":[35],"them":[36],"incapable":[37],"of":[38],"handling":[39],"entities":[40,50,87],"not":[41,105,117],"yet":[42],"included":[43],"therein.However,":[44],"in":[45,77,157],"an":[46],"everevolving":[47],"world,":[48],"new":[49],"emerge":[51],"regularly,":[52],"making":[53],"resources":[56],"insufficient":[57],"for":[58,148],"practical":[59],"applications.To":[60],"address":[61],"this":[62],"limitation,":[63],"we":[64,137],"introduce":[65],"RAED,":[66],"model":[68],"retrieves":[70],"external":[71],"improve":[74],"factual":[75,93],"grounding":[76],"descriptions.Using":[79],"sources":[80],"such":[81],"as":[82],"Wikipedia,":[83],"RAED":[84,123,143],"effectively":[85],"disambiguates":[86],"on":[92,98,119,134],"information,":[94],"reducing":[95],"the":[96,158],"dependence":[97],"parametric":[99],"knowledge.Our":[100],"experiments":[101],"show":[102,138],"retrieval":[104],"only":[106],"enhances":[107],"overall":[108],"description":[109],"quality":[110],"metrics,":[111],"but":[112],"also":[113],"reduces":[114],"hallucinations.Moreover,":[115],"despite":[116],"relying":[118],"fixed":[120],"inventories,":[122],"outperforms":[124],"require":[127],"predefined":[128],"candidate":[129],"sets":[130],"at":[131],"inference":[132],"time":[133],"Disambiguation.Finally,":[136],"generated":[141],"provide":[144],"useful":[145],"representations":[147],"downstream":[149],"models,":[152],"leading":[153],"improved":[155],"performance":[156],"extremely":[159],"challenging":[160],"Emerging":[161],"task.":[164]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-11-08T00:00:00"}