Bayesian multilingual topic model for zero-shot cross-lingual topic identification

This paper presents a Bayesian multilingual topic model for learning language-independent document embeddings. Our model learns to represent the documents in the form of Gaussian distributions, thereby encoding the uncertainty in its covariance... (read more)

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