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Knowledge Representation for Natural Language Processing in Implemented Systems: Papers from the 1994 Fall Symposium (Technical Report) ebook

by Syed A. Ali


OBJECTIVE Our study is to develop NLP systems to determine individuals with red SBIs from neuroimaging reports at two sites: Mayo Clinic and Tufts Medical Center.

From: AAAI Technical Report SS-97-02.

Lawrence Erlbaum, Hillsdale, NJ, pages 59–82.

Frederking, . S. Nirenburg, S. Helmrich D. Farwell, E. Hovy, K. Knight, S. Beale, C. Domashnev, D. Attardo, D. Grannes, and R. Brown. Lawrence Erlbaum, Hillsdale, NJ, pages 59–82.

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As this book shows, however, the computational nature of representation an. .

Traditionally, KRR systems have incorporated NL as an interface to an expert system or knowledge base that performed tasks separate from NL processing. As this book shows, however, the computational nature of representation and inference in NL makes it the ideal level for all tasks in an intelligent computer system.

The proposed system is implemented by fine-tuning a pre-trained convolutional neural network (VGG-16) for features extracting and classification.

Knowledge-based techniques have been applied successfully for many computational .

Knowledge-based techniques have been applied successfully for many computational tasks including text interpretation and cognitive robotics. One way to address the problem of representing knowledge and reasoning about it is to use some form of logic. Faceted knowledge representation originates from the vision of designing a knowledge representation system that is applicable to a variety of domains and suits a variety of users.

Knowledge Representation for Natural Language Processing in Implemented Systems: Papers from the 1994 Fall Symposium (Technical Report) ebook
Author:
Syed A. Ali
Category:
Computer Science
Subcat:
EPUB size:
1930 kb
FB2 size:
1290 kb
DJVU size:
1393 kb
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Publisher:
Amer Assn for Artificial (November 1, 1994)
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4.5
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