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Latte-Mix: Measuring Sentence Semantic Similarity with Latent Categorical Mixtures
In this paper, we demonstrate under a Bayesian framework that distance between primitive statistics such as the mean of word embeddings are fundamentally flawed for capturing sentence-level semantic similarity.
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