ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget

Entity Linking (EL) and Relation Extraction (RE) are fundamental tasks in Natural Language Processing, serving as critical components in a wide range of applications. In this paper, we propose ReLiK, a Retriever-Reader architecture for both EL and RE, where, given an input text, the Retriever module...

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Veröffentlicht in:	arXiv.org 2024-10
Hauptverfasser:	Orlando, Riccardo, Pere-Lluis Huguet Cabot, Barba, Edoardo, Navigli, Roberto
Format:	Artikel
Sprache:	eng
Schlagworte:	Budgets Critical components Domains Information retrieval Modules Natural language processing
Online-Zugang:	Volltext
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