GGP: Glossary Guided Post-processing for Word Embedding Learning

Word embedding learning is the task to map each word into a low-dimensional and continuous vector based on a large corpus. To enhance corpus based word embedding models, researchers utilize domain knowledge to learn more distinguishable representations via joint optimization and post-processing based models... (read more)

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Word Embeddings