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Article
Action Languages and Question Answering
Proceeding of the 12th International Conference on Computational Semantics (2017)
  • Yuliya Lierler, University of Nebraska at Omaha
  • Daniela Inclezan, Miami University - Oxford
  • Michael Gelfond, Texas Tech University
Abstract
This paper describes a methodology for designing Question Answering  systems that utilize an action language ALM to allow inferences based on complex interactions of events described in texts. This methodology assumes the extension of the VERBNET lexicon with interpretable semantic annotations in ALM and specifies the use of several other NLP resources to produce ALM system descriptions for input discourses.
Publication Date
Fall 2017
Citation Information
Yuliya Lierler, Daniela Inclezan and Michael Gelfond. "Action Languages and Question Answering" Proceeding of the 12th International Conference on Computational Semantics (2017)
Available at: http://works.bepress.com/yuliya_lierler/70/