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 …

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 …

This article presents a measure of semantic similarity in an IS-A taxonomy based on the
notion of shared information content. Experimental evaluation against a benchmark set of …

The distributional hypothesis of Harris (1954), according to which the meaning of words is
evidenced by the contexts they occur in, has motivated several effective techniques for …

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

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

Polysemy is the type of lexical ambiguity where a word has multiple distinct but related
interpretations. In the past decade, it has been the subject of a great many studies across …

Many databases contain uncertain and imprecise references to real-world entities. The
absence of identifiers for the underlying entities often results in a database which contains …

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 …

We develop a new computational model for representing the fine-grained meanings of near-
synonyms and the differences between them. We also develop a lexical-choice process that …