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Social and Behavioral Sciences Commons

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Linguistics

Faculty Publications

Series

NL-Soar

Articles 1 - 8 of 8

Full-Text Articles in Social and Behavioral Sciences

Update On Soar 9 And Sentence Processing, Deryle W. Lonsdale, Jeremiah Lane Mcghee, Ross Hendrickson Jun 2009

Update On Soar 9 And Sentence Processing, Deryle W. Lonsdale, Jeremiah Lane Mcghee, Ross Hendrickson

Faculty Publications

NLSOAR is in active development

NLSOAR can process several key types of sentences

NLSOAR updated to SOAR 9 as a prototype


Update On Soar-Based Language Processing, Deryle W. Lonsdale May 2006

Update On Soar-Based Language Processing, Deryle W. Lonsdale

Faculty Publications

Discourse/robotic dialogue

Running on Soar 8.5.2

Having trouble getting to 8.6.1 Fresh start with 8.6.2...


Progress On Nl-Soar, And Introducing Xnl-Soar, Deryle W. Lonsdale, Jamison Cooper-Leavitt, Warren C. Casbeer Jun 2005

Progress On Nl-Soar, And Introducing Xnl-Soar, Deryle W. Lonsdale, Jamison Cooper-Leavitt, Warren C. Casbeer

Faculty Publications

No abstract provided.


Combining Learning Approaches For Incremental On-Line Parsing, Deryle W. Lonsdale, Michael B. Manookin Jul 2004

Combining Learning Approaches For Incremental On-Line Parsing, Deryle W. Lonsdale, Michael B. Manookin

Faculty Publications

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.


Combining Learning Approaches For Incremental On-Line Parsing, Deryle W. Lonsdale, Michael B. Manookin Jan 2004

Combining Learning Approaches For Incremental On-Line Parsing, Deryle W. Lonsdale, Michael B. Manookin

Faculty Publications

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.


Nl-Soar Update, Deryle W. Lonsdale Jun 2003

Nl-Soar Update, Deryle W. Lonsdale

Faculty Publications

No abstract provided.


Nl-Soar And Lg-Soar: Ongoing Work, Deryle W. Lonsdale Jun 2002

Nl-Soar And Lg-Soar: Ongoing Work, Deryle W. Lonsdale

Faculty Publications

Goals:

Expand Soar knowledge and explore possible uses on-campus

Provide and support an NL capability to the Soar research community

Toolkits, resources, knowledge repositories

Carry out research into the cognitive modeling of linguistic performance


Lg-Soar: Parsing For Information, Deryle W. Lonsdale, Merrill Hutchison, Tim Richards, William Taysom Jan 2001

Lg-Soar: Parsing For Information, Deryle W. Lonsdale, Merrill Hutchison, Tim Richards, William Taysom

Faculty Publications

Mine content from problematic text

Address complicated linguistic issues

Output information into a usable format

Integrate components within an agent architecture