activity
20162023
most citedRevisiting Pre-Trained Models for Chinese Natural Language Processing

565 citations · 1.4k across the 30 of their papers we have counts for

collaborators
Showing 2019Show all

11 papers · 1 filter

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★ 10 cited

TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots

Wentao Ma, Yiming Cui, Nan Shao +5

We consider the importance of different utterances in the context for selecting the response usually depends on the current query. In this paper, we propose the model TripleNet to…

cs.CL2019★ 1 cited

Learning Dynamic Context Augmentation for Global Entity Linking

Xiyuan Yang, Xiaotao Gu, Sheng Lin +6

Despite of the recent success of collective entity linking (EL) methods, these "global" inference methods may yield sub-optimal results when the "all-mention coherence" assumption…

cs.CL2019★ 46 cited

Cross-Lingual Machine Reading Comprehension

Yiming Cui, Wanxiang Che, Ting Liu +3

Though the community has made great progress on Machine Reading Comprehension (MRC) task, most of the previous works are solving English-based MRC problems, and there are few effor…