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Song Et Al. (2019).pdf

1905.02450.pdf
Preview of Song et al. (2019)
🔗 Source: arxiv.org
📊 Size: 7.55 MB
👤 Author: Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu
⬇️ Downloads: 111

Summary

MASS (Masked Sequence to Sequence Pre-training) is a pre-training method for language generation tasks, inspired by BERT. It uses an encoder-decoder framework to reconstruct a sentence fragment given the remaining part of the sentence, with the encoder taking a sentence with a masked fragment as input and the decoder predicting the masked fragment. MASS jointly trains the encoder and decoder to develop representation extraction and language modeling capabilities. It achieves significant improvements over baselines on various language generation tasks, including neural machine translation, text summarization, and conversational response generation, and achieves state-of-the-art accuracy on unsupervised English-French translation.

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Description

MASS (Masked Sequence to Sequence Pre-training) is a pre-training method for language generation tasks, inspired by BERT.

Technical Information

  • File Format: PDF
  • File Size: 7.55 MB
  • Pages: 11
  • Language: EN
  • Author: Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu
  • Total Downloads: 111
  • Last Updated: 10 hours ago

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