Wiki sense bag creation using multilingual word sense disambiguation

Multilingual Word Sense Disambiguation Using Aligned Wordnets

Word Sense Disambiguation (WSD from now on) represents an established task within Natural Language Processing community, aiming at finding the right sense of a word occurring in a free running text through the use of a computer algorithm. Currently, most of the WSD approaches consider only monolingual texts, and, as such, they rely mainly on the discriminatory power of the words appearing in th...

Multilingual Word Sense Disambiguation Using Wikipedia

We present three approaches to word sense disambiguation that use Wikipedia as a source of sense annotations. Starting from a basic monolingual approach, we develop two multilingual systems: one that uses a machine translation system to create multilingual features, and one where multilingual features are extracted primarily through the interlingual links available in Wikipedia. Experiments on ...

MULTILINGUAL WORD SENSE DISAMBIGUATION USING WIKIPEDIA Bharath

Word Sense Disambiguation with Multilingual Features

This paper explores the role played by a multilingual feature representation for the task of word sense disambiguation. We translate the context of an ambiguous word in multiple languages, and show through experiments on standard datasets that by using a multilingual vector space we can obtain error rate reductions of up to 25%, as compared to a monolingual classifier.

Multilingual Word Sense Disambiguation and Entity Linking

Nowadays the textual information available online is provided in an increasingly wide range of languages. This language explosion clearly forces researchers to focus on the challenging problem of being able to analyze and understand text written in any language. At the core of this problem lies the lexical ambiguity of language, an issue which is addressed by two key tasks in computational lexi...