Understanding jokes: a neural approach to content-based information retrieval

This paper addresses the problem of accessing the content of documents. Drawing from similarities between vision and language, we devise a neural adaptive architecture that can detect and use context information for the 'understanding" of content, The functioning of this architecture is illustrated by the problem of understanding jokes.