分类

论文解读 - Pretraining-Based Natural Language Generation for Text Summarization

Zhang H, Gong Y, Yan Y, et al. Pretraining-Based Natural Language Generation for Text Summarization[J]. arXiv preprint arXiv:1902.09243, 2019.

Organization: MSRA

BERT 用于文本生成任务的第一篇论文

论文解读 - Deep Communicating Agents for Abstractive Summarization

Celikyilmaz A, Bosselut A, He X, et al. Deep communicating agents for abstractive summarization[J]. arXiv preprint arXiv:1803.10357, 2018.

NAACL18, Microsoft, Allen Institute, JD AI

该论文在 CNN / Daily Mail Non-anonymized version 取得 SOTA, 之后多篇论文均与该论文成果进行比较,值得一读。

论文解读 - SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents

Nallapati R, Zhai F, Zhou B. Summarunner: A recurrent neural network based sequence model for extractive summarization of documents[C]. Thirty-First AAAI Conference on Artificial Intelligence. 2017.

Summarization 领域具有较大影响力,2017 SOTA, 生成及抽取式都有,baseline之一。

深度学习框架分布式训练总结

简单总结一下主流深度学习框架 Tensorflow 和 Pytorch 的分布式训练策略。

TensorBoard Debug 使用方法总结

Tensorflow 拥有 Debug 功能,但其繁琐的调试流程让不少人望而却步。

目前 Tensorbaord 提供了可视化 Tensorflow Debug 界面 (tfdbg GUI),本文简单介绍一下使用 TensorBoard 进行调试步骤。

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