Sentence with attention. [1703.03130] A Structured Self 2019-01-08

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As a side effect, the embedding comes with an easy way of visualizing what specific parts of the sentence are encoded into the embedding. Results show that our model yields a significant performance gain compared to other sentence embedding methods in all of the 3 tasks. . Instead of using a vector, we use a 2-D matrix to represent the embedding, with each row of the matrix attending on a different part of the sentence. We evaluate our model on 3 different tasks: author profiling, sentiment classification, and textual entailment. We also propose a self-attention mechanism and a special regularization term for the model. Submitted on 9 Mar 2017 Abstract: This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention.

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This probably facilitated the adoption of the term by the Hellenists of Alexandria, for, when Philo distinguishes the prophet from the spurious diviner by saying that the latter applies his own inferences to omens and the like while the true prophet, rapt in ecstasy, speaks nothing of his own, but simply repeatg what is given to him by a revelation in which his reason has no part ed. Comments: 15 pages with appendix, 7 figures, 4 tables. . . .


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[1703.03130] A Structured Self

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[1703.03130] A Structured Self

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[1703.03130] A Structured Self

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