Semantic Web Dog Food

Presented at: The Sixth International Language Resources and Evaluation Conference (LREC2008)

by Marco Guerini, Carlo Strapparava, Oliviero Stock

In this paper a first implementation of a tool for valence shifting of natural language texts, named Valentino (VALENced Text INOculator), is presented. Valentino can modify existing textual expressions towards more positively or negatively valenced versions. To this end we built specific resources gathering various valenced terms that are semantically or contextually connected, and implemented strategies that uses these resources for substituting input terms.

Keywords: Emotions, Lexicon, lexical database, Tools, systems, applications, Linguistics

Resource URI on the dog food server: http://data.semanticweb.org/conference/lrec/2008/papers/71

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