Chinese Reading Comprehension

4 papers with code • 10 benchmarks • 7 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.