Combining learning approaches for incremental on-line parsing

Authors

Deryle W. Lonsdale, Brigham Young UniversityFollow
Michael B. Manookin, Brigham Young UniversityFollow

Keywords

modeling language, NL-Soar, analogical modeling (AM)

Abstract

This paper discusses the integration of two different machine learning approaches to modeling language, NL-Soar and analogical modeling (AM). The resulting hybrid system is capable of functionality that is not possible when using only one of the systems in isolation. After a brief introduction of each system, an explanation is given of how AM is used to provide information useful to NL-Soar for two tasks. Examples are given, and related issues are outlined.

Original Publication Citation

Combining learning approaches for incremental on-line parsing. International Conference onConceptual Modeling, Carnegie Mellon University, Pittsburgh, PA, July 2004. [co-author: Michael Manookin]

BYU ScholarsArchive Citation

Lonsdale, Deryle W. and Manookin, Michael B., "Combining learning approaches for incremental on-line parsing" (2004). Faculty Publications. 6807.
https://scholarsarchive.byu.edu/facpub/6807

Document Type

Peer-Reviewed Article

Publication Date

2004-7

Publisher

Carnegie Mellon University

Language

English

College

Humanities

Department

Linguistics and English Language

University Standing at Time of Publication

Full Professor

Copyright Use Information

https://lib.byu.edu/about/copyright/