Action Languages and Question Answering

نویسندگان

  • Yuliya Lierler
  • Daniela Inclezan
  • Michael Gelfond
چکیده

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.

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تاریخ انتشار 2017