30 citations · 119 across the 9 of their papers we have counts for
7 papers · 1 filter
Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals
Yutao Zhu, Jian-Yun Nie, Kun Zhou +3
A proactive dialogue system has the ability to proactively lead the conversation. Different from the general chatbots which only react to the user, proactive dialogue systems can b…
Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator
Hao Jiang, Yutao Zhu, Xinyu Zhang +4
Recent years have witnessed great progress on building emotional chatbots. Tremendous methods have been proposed for chatbots to generate responses with given emotions. However, th…
BERT4SO: Neural Sentence Ordering by Fine-tuning BERT
Yutao Zhu, Jian-Yun Nie, Kun Zhou +3
Sentence ordering aims to arrange the sentences of a given text in the correct order. Recent work frames it as a ranking problem and applies deep neural networks to it. In this wor…
Content Selection Network for Document-grounded Retrieval-based Chatbots
Yutao Zhu, Jian-Yun Nie, Kun Zhou +2
Grounding human-machine conversation in a document is an effective way to improve the performance of retrieval-based chatbots. However, only a part of the document content may be r…
Meta-Learning for Neural Relation Classification with Distant Supervision
Zhenzhen Li, Jian-Yun Nie, Benyou Wang +4
Distant supervision provides a means to create a large number of weakly labeled data at low cost for relation classification. However, the resulting labeled instances are very nois…
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
Zhibin Lu, Pan Du, Jian-Yun Nie
Much progress has been made recently on text classification with methods based on neural networks. In particular, models using attention mechanism such as BERT have shown to have t…