DATE: Thu, Nov 9, 2017
TIME: 1 pm
PLACE: SITE 5084
TITLE: Towards Knowledge-Based Decision Support System using Propositional Analysis and Rhetorical Structure Theory (RST)
PRESENTER: Claudio Gottschalg-Duque
University of Brasilia
ABSTRACT:

The project's leading objective is to develop a Natural Language Interface for Knowledge-Based Decision Support System (KBDSS) using Rhetorical Structure Theory (RST) and Propositional Analysis. KBDSS is a system that provides specialized expertise (problem-solving) stored as facts, rules, procedures, or in similar structures that can be directly accessed by the user. The idea is to develop an independent module that, based in IRS collections' texts, generates questions in natural language to help users to find the relevant information in the system. It is a research project basically, but not only, in fields of Linguistic, Computational Linguistics, Artificial Intelligence, Information Retrieval and Information Science.