Next: Introduction

Refining Domain Ontologies for Flexible Explanation Generation

Galia Angelova
Linguistic Modelling Laboratory,
Bulgarian Academy of Sciences
Acad. G.Bonchev Str. 25A,
1113 Sofia, BULGARIA
galja@lml.acad.bg

Kalina Bontcheva
Department of Computer Science,
University of Sheffield
Regent Court, 211 Portobello Str.,
Sheffield S1 4DP, UK
K.Bontcheva@dcs.shef.ac.uk

Abstract:

This paper (i) analyses briefly the knowledge resources used in NLP, (ii) describes our approach in sufficient details to position it among the various knowledge-based NLP-systems and (iii) proposes refinements of certain ontological relations which will provide more fine-grained explanations from the encoded domain knowledge.

Introduction
Knowledge Resources for NLP
An Overview of the Framework
- The DB-MAT Project
- Conceptual Graphs
Acquiring Domain Knowledge for NLP
- Refinement of the type hierarchy
- Perspectives
Explanations in DB-MAT
New Types of Explanations
Further Elaboration
Conclusion and Future Work
References
About this document ...

Kalina Bontcheva
Wed Sep 3 16:42:54 BST 1997