An attempt is made in this paper to report how a supervised methodology has been adopted
for the task of Word Sense Disambiguation (WSD) in Bengali with necessary modifications …

Word sense disambiguation (WSD) methods identify the most suitable meaning of a word
with respect to the usage of that word in a specific context. Neural network-based WSD …

Abstract Word Sense Disambiguation (WSD) is a computational activity in natural language
processing (NLP) that aims to determine the meaning of a word in its context by choosing …

Abstract In present era, Natural Language Processing (NLP) is critical for improving human-
machine communication. It is a broad interest to process textual data and gathers valuable …

Focusing on Chinese subject-predicate constructions, this paper analyzes the limitations of
Selectional-Preference based metaphor recognition and proposes a new metaphor …

Nowadays, although many researches is being done in the field of word sense
disambiguation in some languages like English, still some other languages like Persian …

In this paper we argue for a word-sense based formalization for collocation, and proposes a
seed-based approach for collocation extraction for specific purposes. The approach uses …

Probabilistically checkable proofs (PCPs) define a model of computation that is quite
interesting in its own right, and that is an extremely powerful tool to study the complexity of …