Natural Language Processing and Knowledge Representation Lab
Members
- Dr. Yuliya Lierler
- Dr. Gregory Gelfond
- Joshua Irvin
- Gang Ling
- Da Shen
Research Topics
Natural language understanding, knowledge representation, 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
- What lexical wide coverage resources can do for parsing
- Textual inference
- Causality in natural language understanding
- Syntactic parsing by means of declarative programming
- Modularity for modeling and solving in declarative programming
- Automated optimization in declarative constraint programming
- Answer set programming and solving
- Constraint answer set programming
Contact Us
- Yuliya Lierler: ylierler@unomaha.edu
College of Information Science & Technology
Our Campus. Otherwise Known as Omaha.
The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment. Learn more about Equity, Access and Diversity.