Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension

By Kai Sun, Dian Yu, Dong Yu, Claire Cardie. 2019

19 citations recorded by the source corpus.

Subfields: Question Answering & Reading Comprehension, Computational Linguistics & Semantics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Question Answering & Reading Comprehension

1. Ting-Wei Liu
2. Yiming Cui
3. Shijin Wang
4. Guoping Hu
5. Kyle Richardson
6. Zhuosheng Zhang
7. Xipeng Qiu
8. Yuxing Peng

In Computational Linguistics & Semantics

1. Hai Hu
2. Wanxiang Che
3. Ting-Wei Liu
4. Kyle Richardson

Citations in the corpus

• CLUE: A Chinese Language Understanding Evaluation Benchmark (2020, background): “• ERNIE-base (Sun et al., 2019c) extends BERT-base with additional training data and leverages knowledge from Knowledge Graphs.”
• A Sentence Cloze Dataset for Chinese Machine Reading Comprehension (2020, background): “, 2018) Wiki NQ Passage Span - 34K C(3) (Sun et al., 2019) Mixed NQ Sentence 14K 24K ChID (Zheng et al.”