Readings in natural language processing
The recognition and classification of concepts in understanding scientific texts
Journal of Experimental & Theoretical Artificial Intelligence
Lexico-semantic pattern matching as a companion to parsing in text understanding
HLT '91 Proceedings of the workshop on Speech and Natural Language
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Semantic interpretation using KL-ONE
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Providing a unified account of definite noun phrases in discourse
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
GE: description of the NLTooLSET system as used for MUC-3
MUC3 '91 Proceedings of the 3rd conference on Message understanding
New York University: description of the PROTEUS system as used for MUC-3
MUC3 '91 Proceedings of the 3rd conference on Message understanding
SRI International: description of the TACITUS system as used for MUC-3
MUC3 '91 Proceedings of the 3rd conference on Message understanding
University of Massachusetts: description of the CIRCUS system as used for MUC-3
MUC3 '91 Proceedings of the 3rd conference on Message understanding
Overview of the fourth message understanding evaluation and conference
MUC4 '92 Proceedings of the 4th conference on Message understanding
Progress in the development of national knowledge infrastructure
Journal of Computer Science and Technology
Extracting and sharing knowledge from medical texts
Journal of Computer Science and Technology
Knowledge modeling and acquisition of traditional Chinese herbal drugs and formulae from text
Artificial Intelligence in Medicine
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A computational model for the acquisition of knowledge from encyclopedic texts is described. The model has been implemented in a program, called SNOWY, that reads unedited texts from The World Book Encyclopedia, and acquires new concepts and conceptual relations about topics dealing with the dietary habits of animals, their classifications and habitats. The program is also able to answer an ample set of questions about the knowledge that it has acquired. This paper describes the essential components of this model, namely semantic interpretation, inferences and representation, and ends with an evaluation of the performance of the program, a sample of the questions that it is able to answer, and its relation to other programs of similar nature.