Story Cloze Task: UW NLP System
This paper describes University of Washington NLP{'}s submission for the Linking Models of Lexical, Sentential and Discourse-level Semantics (LSDSem 2017) shared task{---}the Story Cloze Task. Our system is a linear classifier with a variety of features, including both the scores of a neural language model and style features. We report 75.2{\%} accuracy on the task. A further discussion of our results can be found in Schwartz et al. (2017).
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