1.2k citations · 2.6k across the 49 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
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…
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…
Pre-Training with Whole Word Masking for Chinese BERT
Yiming Cui, Wanxiang Che, Ting Liu +2
Bidirectional Encoder Representations from Transformers (BERT) has shown marvelous improvements across various NLP tasks, and its consecutive variants have been proposed to further…
Exploiting Persona Information for Diverse Generation of Conversational Responses
Haoyu Song, Wei-Nan Zhang, Yiming Cui +2
In human conversations, due to their personalities in mind, people can easily carry out and maintain the conversations. Giving conversational context with persona information to a…