Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!mnetor!uunet!husc6!rutgers!columbia!sylvester.columbia.edu!elhadad From: elhadad@sylvester.columbia.edu (Michael Elhadad) Newsgroups: comp.ai Subject: Natural Language Generation Seminar Message-ID: <5144@columbia.edu> Date: Mon, 16-Nov-87 10:38:01 EST Article-I.D.: columbia.5144 Posted: Mon Nov 16 10:38:01 1987 Date-Received: Wed, 18-Nov-87 02:01:29 EST Sender: nobody@columbia.edu Reply-To: elhadad@sylvester.columbia.edu.UUCP (Michael Elhadad) Organization: Columbia University CS Department Lines: 39 Keywords: meaning-text theory, nl generation [1] DEPARTMENT OF COMPUTER SCIENCE COLUMBIA UNIVERSITY NATURAL LANGUAGE PROCESSING SEMINAR Computer Science Conference Room 450 Mudd Bldg Monday November 23rd at 11:00 a.m. USE OF A MEANING-TEXT LINGUISTIC MODEL IN NATURAL LANGUAGE GENERATION Alain Polguere Odyssey Research Associates Montreal The aim of this talk is first, to give an overview of the main characteristics of a Meaning-Text linguistic Model and, second, to present the work carried out at ORA-Montreal aimed at implementing such a model for natural language generation. We will focus on the following four aspects: - justification of our choice of this linguistic model, - role of multiple levels of representation, - separation of conceptual vs. semantic levels of processing, - specific problems for implementation. ORA-Montreal, in collaboration with ORA-Ithaca, is presently working on two different generation systems based upon the Meaning-Text Model: GOSSIP (reports on operating system activity) and JOYCE (comments for design of secure operating systems). Those two applications will provide the specific context for discussing our implementation of the Meaning-Text Model. ========================================================================