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Word embeddings in 2017: Trends and future directions
Table of contents: Subword-level embeddings OOV handling Evaluation Multi-sense embeddings Beyond words as points Phrases and multi-word expressions Bias Temporal dimension Lack of theoretical understanding Task and domain-specific embeddings Embeddings for multiple languages Embeddings based on other contexts The word2vec method based on skip-gram with negative sampling (Mikolov et... Read more