Lexical Coherence Graph Modeling Using Word Embeddings
M Mesgar, M Strube - Proceedings of NAACL-HLT, 2016
... 1971). We use a pretrained model of GloVe for word embeddings. This model is trained on Common Crawl with 840B tokens, 2.2M vocabulary. We represent each word by a vector with length 300 (Pennington et al., 2014). For ...