Word sense disambiguation (WSD) is the ability to identify the meaning of words in context
in a computational manner. WSD is considered an AI-complete problem, that is, a task …

Ontology is one of the fundamental cornerstones of the semantic Web. The pervasive use of
ontologies in information sharing and knowledge management calls for efficient and …

The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

Graeme Hirst University of Toronto Of the many kinds of ambiguity in language, the two that
have received the most attention in computational linguistics are those of word senses and …

The UCREL semantic analysis system (USAS) is a software tool for undertaking the
automatic semantic analysis of English spoken and written data. This paper describes the …

This article describes an algorithm called HyperLex that is capable of automatically
determining word uses in a textbase without recourse to a dictionary. The algorithm makes …

In this paper, we evaluate a variety of knowledge sources and supervised learning
algorithms for word sense disambiguation on SENSEVAL-2 and SENSEVAL-1 data. Our …

Idiomatic expressions are an integral part of natural language and constantly being added to
a language. Owing to their non-compositionality and their ability to take on a figurative or …

Machine Translation (MT) is both an engineering technology and a measure of all things to
do with languages and computers—whenever a new theory of language or linguistics is …

Word sense ambiguity is recognized as having a detrimental effect on the precision of
information retrieval systems in general and web search systems in particular, due to the …