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Social and Behavioral Sciences Commons™
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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
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
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
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
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
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
Nl-Soar And Lg-Soar: Ongoing Work, Deryle W. Lonsdale
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
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