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20162023
most citedEKT: Exercise-aware Knowledge Tracing for Student Performance Prediction

52 citations · 107 across the 11 of their papers we have counts for

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Showing 2019 · cs.CLShow all

7 papers · 2 filters

cs.CL2019

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

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

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…