Propagation Filters in PDS Networks for Sequencing and Ambiguity Resolution
Abstract
We present a Parallel Distributed Semantic (PDS) Network architecture that addresses the problems of sequencing and ambiguity resolution in natural language understanding. A PDS Network stores phrases and their meanings using multiple PDP networks, structured in the form of a se(cid:173) mantic net. A mechanism called Propagation Filters is employed: (1) to control communication between networks, (2) to properly sequence the components of a phrase, and (3) to resolve ambiguities. Simulation results indicate that PDS Networks and Propagation Filters can successfully rep(cid:173) resent high-level knowledge, can be trained relatively quickly, and provide for parallel inferencing at the knowledge level.
Cite
Text
Sumida and Dyer. "Propagation Filters in PDS Networks for Sequencing and Ambiguity Resolution." Neural Information Processing Systems, 1991.Markdown
[Sumida and Dyer. "Propagation Filters in PDS Networks for Sequencing and Ambiguity Resolution." Neural Information Processing Systems, 1991.](https://mlanthology.org/neurips/1991/sumida1991neurips-propagation/)BibTeX
@inproceedings{sumida1991neurips-propagation,
title = {{Propagation Filters in PDS Networks for Sequencing and Ambiguity Resolution}},
author = {Sumida, Ronald A. and Dyer, Michael G.},
booktitle = {Neural Information Processing Systems},
year = {1991},
pages = {233-240},
url = {https://mlanthology.org/neurips/1991/sumida1991neurips-propagation/}
}