@INPROCEEDINGS{GolovinClassenSchwering2017,
  author      = {Denis Golovin and Jens Cla{\ss}en and Christoph
                  Schwering},
  title       = {Reasoning about Conditional Beliefs for the Winograd
                  Schema Challenge},
  booktitle   = {Proceedings of the Thirteenth International Symposium
                  on Commonsense Reasoning (Commonsense 2017)},
  year        = {2017},
  publisher   = {CEUR-WS.org},
  abstract    = {The Winograd Schema Challenge has been proposed as an
                  alternative to the Turing Test for measuring a
                  machine's intelligence by letting it solve difficult
                  pronoun resolution problems that cannot be tackled
                  by statistical analysis alone. While many solutions
                  so far are based on machine learning and natural
                  language processing, we believe that a
                  knowledge-based approach is better suited. In
                  particular, we propose to employ a logic for
                  conditional beliefs that is capable of dealing with
                  incomplete or even inconsistent information (which
                  commonsense knowledge often is). It does so by
                  formalising the observation that humans often reason
                  by picturing different contingencies of what the
                  world could be like, and then choose to believe what
                  is thought to be most plausible. We discuss and
                  evaluate an implementation where relevant
                  commonsense background information is obtained from
                  the ConceptNet semantic network, translated into our
                  formalism, and processed by a reasoner for our
                  logic.},
  url         = {https://kbsg.rwth-aachen.de/~classen/pub/GolovinClassenSchwering2017.pdf}
}

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