WordNet and Automated Text Summarization
Rui Pedro Chaves · 2001
Proposals for text classification and information retrieval have been recently presented making use of the WordNet ontology. Generally, this methodology requires statistical induction of synset clusters and entails costly training of specific key domains. The present proposal intends to show that a simple recursive evaluation procedure and WordNet are rich enough to obtain useful results in text categorization and summarization without training nor the need for tagged corpora.