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20132021
most citedRevisiting Pre-Trained Models for Chinese Natural Language Processing

565 citations · 3k across the 108 of their papers we have counts for

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Showing 2019 · cs.CLShow all

20 papers · 2 filters

cs.CL2019★ 53 cited

CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension

Xingyi Duan, Baoxin Wang, Ziyue Wang +9

We present a Chinese judicial reading comprehension (CJRC) dataset which contains approximately 10K documents and almost 50K questions with answers. The documents come from judgmen…

cs.CL2019★ 17 cited

Discriminative Sentence Modeling for Story Ending Prediction

Yiming Cui, Wanxiang Che, Wei-Nan Zhang +3

Story Ending Prediction is a task that needs to select an appropriate ending for the given story, which requires the machine to understand the story and sometimes needs commonsense…

cs.CL2019★ 3 cited

Contextual Recurrent Units for Cloze-style Reading Comprehension

Yiming Cui, Wei-Nan Zhang, Wanxiang Che +4

Recurrent Neural Networks (RNN) are known as powerful models for handling sequential data, and especially widely utilized in various natural language processing tasks. In this pape…

cs.CL2019★ 8 cited

Improving Machine Reading Comprehension via Adversarial Training

Ziqing Yang, Yiming Cui, Wanxiang Che +3

Adversarial training (AT) as a regularization method has proved its effectiveness in various tasks, such as image classification and text classification. Though there are successfu…

cs.CL2019

An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension

Jiaqi Li, Ming Liu, Bing Qin +2

In this paper, we propose the scheme for annotating large-scale multi-party chat dialogues for discourse parsing and machine comprehension. The main goal of this project is to help…

cs.CL2019★ 3 cited

Transforming Wikipedia into Augmented Data for Query-Focused Summarization

Haichao Zhu, Li Dong, Furu Wei +2

The limited size of existing query-focused summarization datasets renders training data-driven summarization models challenging. Meanwhile, the manual construction of a query-focus…