Oct 8, 2023 · We aim to propose collective model based on joint graph. We denote as the graph for a document D, where V represents the set of nodes, is the ...

Oct 12, 2023 · In this paper, we propose three ideas: (i) build subgraphs made up of partial mentions instead of those in the entire document to improve ...

In this paper, we propose three ideas: (i) build subgraphs made up of partial mentions instead of those in the entire document to improve computation efficiency ...

In this paper, we propose three ideas: (i) build subgraphs made up of partial mentions instead of those in the entire document to improve computation efficiency ...

Entity Linking aims to link entity mentions in texts to knowledge bases, and neural models have achieved recent success in this task.

Aug 13, 2024 · Collective entity linking always outperforms independent entity linking because it considers the interdependencies among entities.

In this paper, we propose a novel Neural Collective Entity Linking model (NCEL), which performs global EL combining deep neural networks with Graph ...

This paper propose a novel collective entity linking method, which jointly exploit the interdependence among mentions by selecting the most coherent set of ...

Abstract—Collective entity disambiguation, or collective entity linking aims to jointly resolve multiple mentions by linking them to their associated ...

Abstract. Benefiting from the excellent ability of neural net- works on learning semantic representations, exist- ing studies for entity linking (EL) have ...