SIM: um modelo semântico-inferencialista para sistemas de linguagem natural (original) (raw)

2008

Abstract

One of the growing needs related to systems of Natural Language Processing (NLP) is that such systems must be able to perform enriched textual inferences. We argue that one reason for the current limitation of the inferences generated by these systems is that---for the most part---they are based on the characteristics of the things represented by names, and seek to

Tarcisio Cavalcante hasn't uploaded this paper.

Let Tarcisio know you want this paper to be uploaded.

Ask for this paper to be uploaded.