Lexical substitution is the task of finding a replacement for a target word in a sentence so as to preserve, as closely as possible, the meaning of the original sentence. It has been proposed that lexical substitution be used as a basis for assessing the performance of word sense disambiguation systems, an idea realised in the English Lexical Substitution Task of SemEval-2007. In this paper, we examine the evaluation metrics used for the English Lexical Substitution Task and identify some problems that arise for them. We go on to propose some alternative measures for this purpose, that avoid these problems, and which in turn can be seen as redefining the key tasks that lexical substitution systems should be expected to perform. We hope that...
We present a study that investigates that factors that determine what makes a good lexical substitut...
This paper investigates an isolated setting of the lexical substitution task of replacing words with...
In this paper, we propose using metaheuristics---in particular, simulated annealing and the new D-Be...
Since the inception of the SENSEVAL series there has been a great deal of debate in the word sense d...
International audienceWe present a new evaluation scheme for the lexical substitution task. Followin...
In this paper we analyse data from the SemEval lexical substitution task in those cases where the an...
Data sparsity is one of the main factors that make word sense disambiguation (WSD) difficult. To ove...
In this paper we describe the English Lexical Substitution task for SemEval. In the task, annotators...
This article describes a lexical substitution dataset for German. The whole dataset contains 2,040 s...
Proceedings of the 16th Nordic Conference of Computational Linguistics NODALIDA-2007. Editors: Jo...
The paper is intended to promote discussion on potential application oriented methodologies for the ...
In this paper we describe the SemEval-2010 Cross-Lingual Lexical Substitution task, where given an E...
In this paper, we experiment with several techniques to solve the problem of lexical substitution, b...
International audienceThis paper provides an analysis of the results of the SemDis 2014 evaluation c...
We present two systems that pick the ten most appropriate substitutes for a marked word in a test se...
We present a study that investigates that factors that determine what makes a good lexical substitut...
This paper investigates an isolated setting of the lexical substitution task of replacing words with...
In this paper, we propose using metaheuristics---in particular, simulated annealing and the new D-Be...
Since the inception of the SENSEVAL series there has been a great deal of debate in the word sense d...
International audienceWe present a new evaluation scheme for the lexical substitution task. Followin...
In this paper we analyse data from the SemEval lexical substitution task in those cases where the an...
Data sparsity is one of the main factors that make word sense disambiguation (WSD) difficult. To ove...
In this paper we describe the English Lexical Substitution task for SemEval. In the task, annotators...
This article describes a lexical substitution dataset for German. The whole dataset contains 2,040 s...
Proceedings of the 16th Nordic Conference of Computational Linguistics NODALIDA-2007. Editors: Jo...
The paper is intended to promote discussion on potential application oriented methodologies for the ...
In this paper we describe the SemEval-2010 Cross-Lingual Lexical Substitution task, where given an E...
In this paper, we experiment with several techniques to solve the problem of lexical substitution, b...
International audienceThis paper provides an analysis of the results of the SemDis 2014 evaluation c...
We present two systems that pick the ten most appropriate substitutes for a marked word in a test se...
We present a study that investigates that factors that determine what makes a good lexical substitut...
This paper investigates an isolated setting of the lexical substitution task of replacing words with...
In this paper, we propose using metaheuristics---in particular, simulated annealing and the new D-Be...