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Knowledge Representation and Natural Language Understanding Lab

  1. UNO
  2. NLPKR Lab

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.

Current Lab Members

  • Dr. Yuliya Lierler
  • Dr. Jorge Fandinno
  • Daniel Bresnahan
  • Zachary Hansen
  • Joel Sare
  • Eleuterio Juan Lillo Portero

2019 ICLP
Academic Family Reunion


nplkr-family.jpg

Research Projects

  • Automated optimization of programs and processing tools in answer set programming
  • Modularity for modeling and solving in declarative programming
  • Answer set programming and solving
  • Constraint answer set programming
  • Semantic-based Information Extraction System from Textual Input
  • What lexical wide coverage resources can do for parsing and Information Extraction
  • Textual inference
  • Causality in natural language understanding
  • Syntactic parsing by means of declarative programming

ZOOM-based Seminars

Seminars on Answer Set Programming hosted by the lab are linked here. If your are interested joining this ZOOM-based seminar send an email to aspseminar-join@lists.unomaha.edu with the word "subscribe" in the subject line.

Contact Us

  • Yuliya Lierler: ylierler@unomaha.edu

College of Information Science & Technology

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