Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning

arXiv: Computation and Language, Volume abs/1705.00557, 2017.

Cited by: 58|Views76


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,...More



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