Winograd Schema - Knowledge Extraction Using Narrative Chains
  The Winograd Schema Challenge (WSC) is a test of machine intelligence,
designed to be an improvement on the Turing test. A Winograd Schema consists of
a sentence and a corresponding question. To successfully answer these
questions, one requires the use of commonsense knowledge and reasoning. This
work focuses on extracting common sense knowledge which can be used to generate
answers for the Winograd schema challenge. Common sense knowledge is extracted
based on events (or actions) and their participants; called Event-Based
Conditional Commonsense (ECC). I propose an approach using Narrative Event
Chains [Chambers et al., 2008] to extract ECC knowledge. These are stored in
templates, to be later used for answering the WSC questions. This approach
works well with respect to a subset of WSC tasks.
