We study distributional similarity measures for the purpose of improving probability
estimation for unseen cooccurrences. Our contributions are three-fold: an empirical …

The goal of text categorization is to classify documents into a certain number of predefined
categories. The previous works in this area have used a large number of labeled training …

Similarity between complex data objects is one of the central notions in data mining. We
propose certain similarity (or distance) measures between various components of a 0/1 …

In data mining and knowledge discovery, similarity between objects is one of the central
concepts. A measure of similarity can be user-de ned, but an important problem is de ning …

As software becomes more complicated and large-scaled, it is important for software
engineers to understand user's requirements correctly. In typical large-scaled system …

A word sense disambiguation system which is going to be used aspart of a NLP system
needs to be large scale, able to beoptimised towards a specific task and above all accurate …

Abstract Word Sense Disambiguation (WSD) is considered as one of the most difficult tasks
in Natural Language Processing. Probabilistic methods have shown their efficiency in many …

Define an inadvertent semantic error to be a spelling or typing error that turns an intended
word into another word of the language. For example, the intended word “sight” might …

Lexicography entered the twentieth century under the sway of historicism, which prevailed
during the greater part of the nineteenth century. Some of the voluminous dictionaries which …

Korean machine translation, transitive verb-objective collocation is utilized for accurate
translation of an English verbal phrase into Korean. This paper presents an algorithm for …