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UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training

ICML, pp.642-652, (2020)

Cited by: 47|Views171
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Abstract

We propose to pre-train a unified language model for both autoencoding and partially autoregressive language modeling tasks using a novel training procedure, referred to as a pseudo-masked language model (PMLM). Given an input text with masked tokens, we rely on conventional masks to learn inter-relations between corrupted tokens and co...More

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