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• W2610858497 abstract "This work presents a novel objective function for the unsupervised training of neural network sentence encoders. It exploits signals from paragraph-level discourse coherence to train these models to understand text. Our objective is purely discriminative, allowing us to train models many times faster than was possible under prior methods, and it yields models which perform well in extrinsic evaluations." @default.
• W2610858497 created "2017-05-12" @default.
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• W2610858497 date "2017-04-23" @default.
• W2610858497 modified "2023-10-14" @default.
• W2610858497 title "Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning" @default.
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• W2610858497 hasPublicationYear "2017" @default.
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