A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization

no code implementations • Findings (EMNLP) 2021 • Yuejie Lei, Fujia Zheng, Yuanmeng Yan, Keqing He, Weiran Xu

Although abstractive summarization models have achieved impressive results on document summarization tasks, their performance on dialogue modeling is much less satisfactory due to the crude and straight methods for dialogue encoding.

Abstractive Dialogue Summarization Abstractive Text Summarization +1

Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold

1 code implementation • NAACL 2022 • Yanan Wu, Keqing He, Yuanmeng Yan, QiXiang Gao, Zhiyuan Zeng, Fujia Zheng, Lulu Zhao, Huixing Jiang, Wei Wu, Weiran Xu

Detecting Out-of-Domain (OOD) or unknown intents from user queries is essential in a task-oriented dialog system.

Contrastive Learning Out of Distribution (OOD) Detection

Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization

1 code implementation • NAACL 2022 • Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu

The most advanced abstractive dialogue summarizers lack generalization ability on new domains and the existing researches for domain adaptation in summarization generally rely on large-scale pre-trainings.

Domain Adaptation

TODSum: Task-Oriented Dialogue Summarization with State Tracking

no code implementations • 25 Oct 2021 • Lulu Zhao, Fujia Zheng, Keqing He, Weihao Zeng, Yuejie Lei, Huixing Jiang, Wei Wu, Weiran Xu, Jun Guo, Fanyu Meng

Previous dialogue summarization datasets mainly focus on open-domain chitchat dialogues, while summarization datasets for the broadly used task-oriented dialogue haven't been explored yet.