An Attentive Neural Architecture for Fine-grained Entity Type Classification
S Shimaoka, P Stenetorp, K Inui, S Riedel - arXiv preprint arXiv:1604.05525, 2016
... appearing in the training set. Specifically, we used the freely available 300 dimensional cased word embeddings trained on 840 billion to- kens from the Common Crawl supplied by Pennington et al. (2014). As embeddings ...