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Not All Contexts Are Created Equal Better Word Representations with Variable Attention Learning Context-Sensitive Word Embeddings with Neural Tensor Skip-Gram Model Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference Contextual Word Representations: A Contextual Introduction Not All Neural Embeddings are Born Equal High-risk learning: acquiring new word vectors from tiny data Learning word embeddings from dictionary definitions only Dependency-Based Word Embeddings

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