Activation-based parsing

Authors:
Mark A. Jones
Affiliations:
State University of New York at Stony Brook, Long Island, New York
Venue:
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Year:
1983

Citing 3
Cited 0

Understanding noun compounds

Understanding noun compounds
Cascaded ATN grammars

Computational Linguistics
Taxonomic lattice structures for situation recognition

TINLAP '78 Proceedings of the 1978 workshop on Theoretical issues in natural language processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

A model is presented that describes natural language parsing in terms of a uniform activation algorithm which operates over an interconnected, declarative structure of nodes and node instances. The algorithm directs the flow of activation and expectation using only local information and, hence, supports substantial concurrency. A representation is introduced to express node relationships and activation agreement Examples of several linguistic processes and their interrelationships are described.