Nov 11, 2016 · The entity linking (EL) system consists of two modules: a rule based candidate generation and a neural networks probability ranking model.
Nov 21, 2016 · Motivated by Salinas's (2003) original discovery in [1] and inspired by Oja's (1982) seminal work in [2], in this paper, we propose a class of ...
In this paper, we have studied a novel deep learning model for both mention detection (MD) and Entity Linking. Our methods rely on the recent fixed-size ...
Apr 6, 2022 · This survey presents a comprehensive description of recent neural entity linking (EL) systems developed since 2015 as a result of the “deep ...
This paper describes the USTC_NELSLIP systems submitted to the TrilingualEntity Detection and Linking (EDL) track in 2016 TAC Knowledge Base Population(KBP) ...
FOFE-based Deep Neural Networks for Entity Discovery and Linking. Overview ... FOFE-based Entity Discovery and Entity Linking models. Training data: KBP ...
Two systems for entity discovery and mention detection are built that uses the conditional RNNLM and the attention-based encoder-decoder framework and the ...
This paper describes the USTC_NELSLIP systems submitted to the Trilingual Entity Detection and Linking (EDL) track in 2016 TAC Knowledge Base Population ...
The goal of our survey is to provide an overview of this latest wave of models, emerging from 2015. Models based on neural networks have managed to excel in EL ...
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