Relieving Polysemy Problem for Synonymy Detection

In order to automatically identify noun synonyms, we propose a new idea which opposes classical polysemous representations of words to monosemous representations based on the “one sense per discourse” hypothesis. For that purpose, we apply the attributional similarity paradigm on two levels: corpus and document. We evaluate our methodology on well-known standard multiple choice synonymy question tests and evidence that it steadily outperforms the baseline.

• Type: Conference
• Year: 2009
• Where: EPIA
• Authors: Gaël Dias, Rumen Moraliyski
• Keywords: Artificial Intelligence, Attributional Similarity Paradigm, Choice Synonymy Question, Classical Polysemous Representations, EPIA 2009