elhadad@sylvester.columbia.edu (Michael Elhadad) (11/16/87)
[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.
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