A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution

EMNLP 2015 Shaohua LiJun ZhuChunyan Miao

Most existing word embedding methods can be categorized into Neural Embedding Models and Matrix Factorization (MF)-based methods. However some models are opaque to probabilistic interpretation, and MF-based methods, typically solved using Singular Value Decomposition (SVD), may incur loss of corpus information... (read more)

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