Chinese Reading Comprehension

5 papers with code • 10 benchmarks • 8 datasets

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Most implemented papers

XLNet: Generalized Autoregressive Pretraining for Language Understanding

zihangdai/xlnet NeurIPS 2019

With the capability of modeling bidirectional contexts, denoising autoencoding based pretraining like BERT achieves better performance than pretraining approaches based on autoregressive language modeling.

ERNIE 2.0: A Continual Pre-training Framework for Language Understanding

PaddlePaddle/ERNIE 29 Jul 2019

Recently, pre-trained models have achieved state-of-the-art results in various language understanding tasks, which indicates that pre-training on large-scale corpora may play a crucial role in natural language processing.

Dataset for the First Evaluation on Chinese Machine Reading Comprehension

ymcui/cmrc2017 LREC 2018

Machine Reading Comprehension (MRC) has become enormously popular recently and has attracted a lot of attention.

ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion

benywon/ReCO 22 Jun 2020

The release of ReCO consists of 300k questions that to our knowledge is the largest in Chinese reading comprehension.

Natural Response Generation for Chinese Reading Comprehension

nuochenpku/penguin 17 Feb 2023

To this end, we construct a new dataset called Penguin to promote the research of MRC, providing a training and test bed for natural response generation to real scenarios.