Helpful answers to modal and hypothetical questions

Authors:
Anne De Roeck;Richard Ball;Keith Brown;Chris Fox;Marjolein Groefsema;Nadim Obeid;Ray Turner
Affiliations:
University of Essex, England;University of Essex, England;University of Essex, England;University of Essex, England;University of Essex, England;University of Essex, England;University of Essex, England
Venue:
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
Year:
1991

Citing 4
Cited 1

Relevance: communication and cognition

Relevance: communication and cognition
Bidirectional chart parsing

on Advances in artificial intelligence
Truth and modality for knowledge representation

Truth and modality for knowledge representation
A First Order Logic of Truth, Knowledge and Belief

JELIA '90 Proceedings of the European Workshop on Logics in AI

Partial information basis for agent-based collaborative dialogue

Applied Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a computational pragmatic model which is geared towards providing helpful answers to modal and hypothetical questions. The work brings together elements from formal semantic theories on modality and question answering, defines a wider, pragmatically flavoured, notion of answerhood based on non-monotonic inference and develops a notion of context, within which aspects of more cognitively oriented theories, such as Relevance Theory, can be accommodated. The model has been implemented. The research was funded By ESRC grant number R000231279.