1.5k citations · 1.8k across the 32 of their papers we have counts for
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Open-Domain Dialogue Generation Based on Pre-trained Language Models
Yan Zeng, Jian-Yun Nie
Pre-trained language models have been successfully used in response generation for open-domain dialogue. Four main frameworks have been proposed: (1) Transformer-ED using Transform…
Multi-Domain Dialogue State Tracking based on State Graph
Yan Zeng, Jian-Yun Nie
We investigate the problem of multi-domain Dialogue State Tracking (DST) with open vocabulary, which aims to extract the state from the dialogue. Existing approaches usually concat…
Jointly Optimizing State Operation Prediction and Value Generation for Dialogue State Tracking
Yan Zeng, Jian-Yun Nie
We investigate the problem of multi-domain Dialogue State Tracking (DST) with open vocabulary. Existing approaches exploit BERT encoder and copy-based RNN decoder, where the encode…
A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue Generation
Yan Zeng, Jian-Yun Nie
Conditioned dialogue generation suffers from the scarcity of labeled responses. In this work, we exploit labeled non-dialogue text data related to the condition, which are much eas…
ScriptWriter: Narrative-Guided Script Generation
Yutao Zhu, Ruihua Song, Zhicheng Dou +2
It is appealing to have a system that generates a story or scripts automatically from a story-line, even though this is still out of our reach. In dialogue systems, it would also b…
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…