Knowledge Representation and Natural Language Understanding Lab
Members
- Dr. Yuliya Lierler
- Dr. Gregory Gelfond
- Nicholas Hippen
- Da Shen
Research Topics
Knowledge representation, natural language understanding, automated reasoning, declarative problem solving. We are particularly interested in applying automated reasoning techniques for solving inference problems stemming from natural language understanding domain. Also, our work spans theoretic foundations as well as practical implementations of methods for automated reasoning based on model generation.
Research Projects
- Automated optimization in declarative constraint programming
- Modularity for modeling and solving in declarative programming
- Answer set programming and solving
- Constraint answer set programming
- What lexical wide coverage resources can do for parsing
- Textual inference
- Causality in natural language understanding
- Syntactic parsing by means of declarative programming
Contact Us
- Yuliya Lierler: ylierler@unomaha.edu
College of Information Science & Technology
Our Campus. Otherwise Known as Omaha.
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