A propositional language for text representation
Computational models of natural language processing
From topic and focus of a sentence to linking in a text
Computational models of natural language processing
A rule-based approach to evaluating importance in descriptive texts
EACL '85 Proceedings of the second conference on European chapter of the Association for Computational Linguistics
Forward and backward reasoning in automatic abstracting
COLING '82 Proceedings of the 9th conference on Computational linguistics - Volume 1
Machine learning of generic and user-focused summarization
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
COLING '86 Proceedings of the 11th coference on Computational linguistics
| Hi-index | 0.01 |
The paper deals with the problem of evaluation importance of descriptive texts and proposes a procedural, rule-based approach which is implemented in a prototype experimental of System operating in the specific domain of text summarization. Importance evaluation is performed through a set of rules wich are used to assign importance values to the different parts of a text and to resolve or explain conflicting evaluations. The system utilizes world knowledge on the subject domain contained in an encylopedia and takes into accont a goal assigned by the user for specifying the pragmatic aspects of the understading activity. In the paper some examples of the system operation are presented by following the evaluation of a small sample text.