Collective disambiguation and semantic annotation for entity linking and typing

Abstract

In this paper we present the WESTLAB system, the winner of the 2016 OKE challenge Task 1. Our approach combines the output of a semantic annotator with the output of a named entity recognizer, and applies some heuristics for merging and filtering the detected mentions. The approach also applies a collective disambiguation method that relies on all the previously linked entities to choose between multiple candidate entities for a given mention. Using this approach, we greatly improve the performance of all the semantic annotators that are used as baselines in our experiments and also outperform the best system of the OKE Challenge 2015.