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Smart Context Generation for Disambiguation to Wikipedia

  • Andrey Sysoev
  • Irina Nikishina
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 930)

Abstract

Wikification is a crucial NLP task that aims to identify entities in text and disambiguate their meaning. Being partially solved for English, the problem still remains fairly untouched for Russian. In this article we present a novel approach to Disambiguation to Wikipedia applied to the Russian language. Inspired by the Neural Machine Translation task our method implements encoder-decoder neural network architecture. It translates text tokens into concept embeddings that are subsequently used as context for disambiguation. In order to test our hypothesis we add our context features to GLOW system considered a baseline. Moreover, we present commonly available dataset for the Disambiguation to Wikipedia task.

Keywords

Disambiguation to Wikipedia Wikification for Russian Encoder-decoder neural network architecture Concept embeddings 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Ivannikov Institute for System ProgrammingRussian Academy of SciencesMoscowRussia
  2. 2.Higher School of EconomicsMoscowRussia

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