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 …

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

In communication, textual data are a vital attribute. In all languages, ambiguous or
polysemous words' meaning changes depending on the context in which they are used. The …

The goal of this task is to evaluate the feasibility of multilingual WSD on a newly developed
multilingual lexical sample data set. Participants were asked to automatically determine the …

An important problem to be addressed by diagnostic systems in industrial applications is the
estimation of faults with incomplete observations. This work discusses different approaches …

Since the last two decades, XML has gained momentum as the standard for web information
management and complex data representation. Also, collaboratively built semi-structured …

Background Abbreviations are considered an essential part of the clinical narrative; they are
used not only to save time and space but also to hide serious or incurable illnesses …

Word sense disambiguation is a subfield of computational linguistics in which computer
systems are designed to determine the appropriate meaning of a word as it appears in the …

We present a very simple method for selecting Base Level Concepts using basic structural
properties of WordNet. We also empirically demonstrate that these automatically derived set …

The distributed nature of the Web, as a decentralized system exchanging information
between heterogeneous sources, has underlined the need to manage interoperability, ie …