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A SUMO-based Semantic Analysis for Knowledge Extraction

The process of extracting semantic information from texts is a key issue for human language technologies. However, this semantic extraction often relies on linguistic resources that are costly to acquire. This represents an obstacle to the wide development of semantic analyzers. This paper illustrates an effort in the semantic analysis of texts based on the already available upper-level ontology SUMO as well as the WordNet lexicon. A preliminary evaluation is conducted, where a comparison of our system with two baselines shows interesting results.