The science of complexity aims to answer the question of what rules nature chooses when
assembling the basic constituents of matter and energy into structures and dynamical …

Theories on the functions of the hippocampal system are based largely on two fundamental
discoveries: the amnestic consequences of removing the hippocampus and associated …

Abstract Entity Linking (EL) and Word Sense Disambiguation (WSD) both address the lexical
ambiguity of language. But while the two tasks are pretty similar, they differ in a fundamental …

We present an automatic approach to the construction of BabelNet, a very large, wide-
coverage multilingual semantic network. Key to our approach is the integration of …

In this paper we present BabelNet–a very large, wide-coverage multilingual semantic
network. The resource is automatically constructed by means of a methodology that …

Most word representation methods assume that each word owns a single semantic vector.
This is usually problematic because lexical ambiguity is ubiquitous, which is also the …

Traditional clustering algorithms do not consider the semantic relationships among words so
that cannot accurately represent the meaning of documents. To overcome this problem …

Abstract Word Sense Disambiguation (WSD) systems automatically choose the intended
meaning of a word in context. In this article we present a WSD algorithm based on random …

Abstract Word Sense Disambiguation (WSD) is a long-standing but open problem in Natural
Language Processing (NLP). WSD corpora are typically small in size, owing to an expensive …

This paper presents the SemEval-2013 task on multilingual Word Sense Disambiguation.
We describe our experience in producing a multilingual sense-annotated corpus for the task …