48 citations · 81 across the 7 of their papers we have counts for
7 papers
Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue System
Weizhou Shen, Yingqi Gao, Canbin Huang +3
Developing an efficient retriever to retrieve knowledge from a large-scale knowledge base (KB) is critical for task-oriented dialogue systems to effectively handle localized and sp…
Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog
Fanqi Wan, Weizhou Shen, Ke Yang +2
Retrieving proper domain knowledge from an external database lies at the heart of end-to-end task-oriented dialog systems to generate informative responses. Most existing systems b…
Generic Dependency Modeling for Multi-Party Conversation
Weizhou Shen, Xiaojun Quan, Ke Yang
To model the dependencies between utterances in multi-party conversations, we propose a simple and generic framework based on the dependency parsing results of utterances. Particul…
Joint Generator-Ranker Learning for Natural Language Generation
Weizhou Shen, Yeyun Gong, Yelong Shen +4
Generate-then-rank is a widely used mechanism for text generation, where a generator produces multiple text candidates and a ranker chooses the best one among the text candidates.…
Directed Acyclic Graph Network for Conversational Emotion Recognition
Weizhou Shen, Siyue Wu, Yunyi Yang +1
The modeling of conversational context plays a vital role in emotion recognition from conversation (ERC). In this paper, we put forward a novel idea of encoding the utterances with…
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
Weizhou Shen, Junqing Chen, Xiaojun Quan +1
This paper presents our pioneering effort for emotion recognition in conversation (ERC) with pre-trained language models. Unlike regular documents, conversational utterances appear…
Relational Graph Attention Network for Aspect-based Sentiment Analysis
Kai Wang, Weizhou Shen, Yunyi Yang +2
Aspect-based sentiment analysis aims to determine the sentiment polarity towards a specific aspect in online reviews. Most recent efforts adopt attention-based neural network model…