International audienceThe importance of describing regular polysemy in a lexicon has often been outlined, especially in the field of natural language processing (for a good overview of this issue, see (Ravin and Leacock, 2000)). Unfortunately, no existing broad-coverage semantic lexicon has been built following this relatively recent advice. And since producing a broad coverage semantic lexicon is a very time-consuming task, one has to put this idea into practice on existing lexicons. WordNet is an appropriate lexical semantic resource for running this experiment as it is machine readable and has a wide coverage (Fellbaum, 1998). In this paper, we introduce a method to create regular polysemy patterns from WordNet data and to automatically ...
In this paper we report the results of four experiments conducted to extract lists of nouns that e...
International audienceIntroductionThe present paper aims at detecting polysemous words from their hy...
This paper demonstrates how token-level word space models (a distributional semantic technique that ...
International audienceThe importance of describing regular polysemy in a lexicon has often been outl...
WordNet has been used widely in NLP and semantic applications. Despite the reputation of WordNet, it...
Abstract — WordNet represents the polysemous terms by capturing the different meanings of them at le...
International audienceThe notion of lexical polysemy is considered under very different angles depen...
This paper describes an attempt to gain more insight into the mechanisms that underlie lexicalised s...
Polysemy in WordNet corresponds to various kinds of linguistic phenomena that can be grouped into fi...
While polysemy is a form of ambiguity that can complicate natural language processing, it is also a ...
We first describe four varieties of thesaurus: (1) Roget-style, produced to help people find synonym...
A known problem of WordNet is that it is too ne-grained in its sense denitions. For instance, it doe...
Abstract. A known problem of WordNet is that it is too fine-grained in its sense definitions. For in...
In this paper we report the results of four experiments conducted to extract lists of nouns that exh...
This paper describes a semi-automatic method of inducing underspecified semantic classes from WordNe...
In this paper we report the results of four experiments conducted to extract lists of nouns that e...
International audienceIntroductionThe present paper aims at detecting polysemous words from their hy...
This paper demonstrates how token-level word space models (a distributional semantic technique that ...
International audienceThe importance of describing regular polysemy in a lexicon has often been outl...
WordNet has been used widely in NLP and semantic applications. Despite the reputation of WordNet, it...
Abstract — WordNet represents the polysemous terms by capturing the different meanings of them at le...
International audienceThe notion of lexical polysemy is considered under very different angles depen...
This paper describes an attempt to gain more insight into the mechanisms that underlie lexicalised s...
Polysemy in WordNet corresponds to various kinds of linguistic phenomena that can be grouped into fi...
While polysemy is a form of ambiguity that can complicate natural language processing, it is also a ...
We first describe four varieties of thesaurus: (1) Roget-style, produced to help people find synonym...
A known problem of WordNet is that it is too ne-grained in its sense denitions. For instance, it doe...
Abstract. A known problem of WordNet is that it is too fine-grained in its sense definitions. For in...
In this paper we report the results of four experiments conducted to extract lists of nouns that exh...
This paper describes a semi-automatic method of inducing underspecified semantic classes from WordNe...
In this paper we report the results of four experiments conducted to extract lists of nouns that e...
International audienceIntroductionThe present paper aims at detecting polysemous words from their hy...
This paper demonstrates how token-level word space models (a distributional semantic technique that ...