Lena Hettinger, Alexander Dallmann, Albin Zehe, Thomas Niebler, Andreas Hotho &ndash; University of Würzburg, Germany
ClaiRE at SemEval-2018 Task 7-Extended Version
University of Würzburg, Germany
nlp/semantics, nlp/word-embeddings
we employ a publicly available set of 300-dimensional word embeddings trained with GloVe (Pennington et al., 2014) on the Common Crawl data