Neural Networks Models for Entity Discovery and Linking

11 Nov 2016 Dan Liu Wei. Lin Shiliang Zhang Si Wei Hui Jiang

This paper describes the USTC_NELSLIP systems submitted to the Trilingual Entity Detection and Linking (EDL) track in 2016 TAC Knowledge Base Population (KBP) contests. We have built two systems for entity discovery and mention detection (MD): one uses the conditional RNNLM and the other one uses the attention-based encoder-decoder framework... (read more)

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