Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification

ACL 2019 Tu VuMohit Iyyer

While paragraph embedding models are remarkably effective for downstream classification tasks, what they learn and encode into a single vector remains opaque. In this paper, we investigate a state-of-the-art paragraph embedding method proposed by Zhang et al. (2017) and discover that it cannot reliably tell whether a given sentence occurs in the input paragraph or not... (read more)

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