Gérard Sabah

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In this paper we present a general natural language processing system called CARAMEL (in French : Comprdhension Automatique de R~cits, Apprentissage et Moddlisation des E:changes Langagiers)o Over the last few years our group has developed many pro~ams to deal with differem: aspects of natural language processing: This paper describes a general(More)
A model for reference use in communication is proposed, from a representationist point of view. Both the sender and the receiver of a message handle representations of their common environment, including mental representations of objects. Reference resolution by a computer is viewed as the construction of object representations using referring expressions(More)
This paper presents an introduction for the ESPRIT community of the recently started ESPRIT 11 project, PLUS (P5254). The goal of the project is the production of a robust natural language dialogue system integrating linguistic and non-linguistic knowledge in a principled way, based on the pragmatics theories of Grice and Searle, and using results in(More)
ABSIPACT This paper describes an implemented tutoring system (2), designed to help students to generate clitic-constmctions in French. While showing various ways of converting a given meaning structure into its corresponding surface expression, tbe system helps not only to discover what data to process but also h~_~ this information processing should(More)
In order to help computational linguists, we have conceived and developed a linguistic software engineering environment, whose goal is to set up reusable and evo-lutive toolkits for natural language processing. This environment is based on a set of natural language processing components , at the morphologic, syntactic and semantic levels. These components(More)
In the dialogue part of our system, we have tried to increase the user's possibilities to criticize the machine's results flfd require explanations of them. The system must then provide a clear justification : either by furnishing the chain of reasoning or by asking a "good question" when it failed. The system must also be able to engage in a real dialogue,(More)