Attention, intentions, and the structure of discourse
Computational Linguistics
Plans for a task-oriented evaluation of natural language understanding systems
HLT '89 Proceedings of the workshop on Speech and Natural Language
Natural language, knowledge representation, and logical form
A symposium on future directions in natural language processing on Challenges in natural language processing
Maintaining knowledge about temporal intervals
Communications of the ACM
An architecture for anaphora resolution
ANLC '88 Proceedings of the second conference on Applied natural language processing
Integrating top-down and bottom-up strategies in a text processing system
ANLC '88 Proceedings of the second conference on Applied natural language processing
Canonical representation in NLP system design: a critical evaluation
ANLC '88 Proceedings of the second conference on Applied natural language processing
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A central problem in text-understanding research is the indeterminacy of natural language. Two related issues that arise in confronting this problem are the need to make complex interactions possible among the system components that search for cues, and the need to control the amount of reasoning that is done once cues have been discovered. We identify a key difficulty iu enabling true interaction among system components and we propose an architectural framework that minimizes this difficulty. A concrete example of a reasoning task encountered in an actual text-understanding application is used to motivate the design principles of our framework.