Senseval

In this paper we describe the structure, organisa- tion and results of the SENSEVAL exercise for Span- ish. We present several design decisions we taked for the exercise, we describe …...

It is known that whenever a system’s actions depend on the meaning of the text being pro- cessed, disambiguation is beneficial or even nec- essary. The contest Senseval is an …...

Word Sense Disambiguation suffers from a long-standing problem of knowledge ac- quisition bottleneck. Although state of the art supervised systems report good accu- racies for selected words, they have not …...

This paper presents a new application of the recently proposed machine learning method Alternating Structure Optimiza- tion (ASO), to word sense disambiguation (WSD). Given a set of WSD problems and …...

This document describes the Word Sense Disam- biguation system used by Language Computer Cor- poration at English Coarse Grained All Word Task at SemEval 2007. The system is based on …...

We made use of parallel texts to gather train- ing and test examples for the English lexi- cal sample task. Two tracks were organized for our task. The first track …...

The task of Word Sense Disambiguation (WSD) is to determine the meaning of an ambiguous word in a given context. In spite of its importance for most NLP pipelines, WSD …...