The berkeley UNIX consultant project
Computational Linguistics
The Berkeley UNIX Consultant Project
Artificial Intelligence Review
A critical evaluation of commensurable abduction models for semantic interpretation
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
A probabilistic approach to marker propagation
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Syntactic/semantic structures for textual entailment recognition
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
A probabilistic analysis of marker-passing techniques for plan-recognition
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
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This thesis addresses the problem of understanding written English texts. The reader of a text is faced with a formidable task: recognizing the individual words of the text, deciding how they are structured into sentences, determining the explicit meaning of each sentence, and also making inferences about the likely implicit meaning of each sentence, and also making inferences about the likely implicit meaning of each sentence, and the implicit connections between sentences. This study is primarily concerned with the problem of inferencing, and touches on lexical and syntactic issues only in that they interact with the problem of inferencing.