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
Programming expert systems in OPS5: an introduction to rule-based programming
Programming expert systems in OPS5: an introduction to rule-based programming
The UNIX operating systems: 2nd edition
The UNIX operating systems: 2nd edition
Pattern-Directed Inference Systems
Pattern-Directed Inference Systems
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
A distributed multi-agent architecture for natural language processing
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Abstract generation based on rhetorical structure extraction
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
FASIL email summarisation system
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
| Hi-index | 0.00 |
The paper deals with a new approach to importance evaluation of descriptive texts developed in the framework of SUSY, an experimental system in the domain of text summarization. The problem of taking into account the reader's goals in evaluating importance of different parts of a text is first analyzed. A solution to the design of a goal interpreter capable of computing a quantitative measure of the relevance degree of a piece of text according to a given goal is then proposed, and an example of goal interpreter operation is provided.