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Querying Word Embeddings for Similarity and Relatedness Data Distillation: Towards Omni-Supervised Learning A Rank-Based Similarity Metric for Word Embeddings Dict2vec: Learning Word Embeddings using Lexical Dictionaries Graph Convolutional Networks for Text Classification Improving Distributional Similarity with Lessons Learned from Word Embeddings Real-time Personalization using Embeddings for Search Ranking at Airbnb Glyce: Glyph-vectors for Chinese Character Representations Auto-Encoding Dictionary Definitions into Consistent Word Embeddings Distilling the Knowledge in a Neural Network Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrin The (Too Many) Problems of Analogical Reasoning with Word Vectors Linear Ensembles of Word Embedding Models Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance Dynamic Meta-Embeddings for Improved Sentence Representations

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