no code implementations • EMNLP 2020 • Jinghui Yan, Yining Wang, Lu Xiang, Yu Zhou, Chengqing Zong
Medical entity normalization, which links medical mentions in the text to entities in knowledge bases, is an important research topic in medical natural language processing.
no code implementations • 6 Dec 2022 • Yang Zhao, Junnan Zhu, Lu Xiang, Jiajun Zhang, Yu Zhou, FeiFei Zhai, Chengqing Zong
To alleviate the CF, we investigate knowledge distillation based life-long learning methods.
2 code implementations • ACL 2022 • Haitao Lin, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong
Therefore, we propose a novel role interaction enhanced method for role-oriented dialogue summarization.
2 code implementations • EMNLP 2021 • Haitao Lin, Liqun Ma, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong
Therefore, in this paper, we introduce a novel Chinese dataset for Customer Service Dialogue Summarization (CSDS).
1 code implementation • 19 Aug 2021 • Haitao Lin, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong
We propose two strategies for finetuning process: value-based and context-based augmentation.
no code implementations • COLING 2020 • Yang Zhao, Lu Xiang, Junnan Zhu, Jiajun Zhang, Yu Zhou, Chengqing Zong
Previous studies combining knowledge graph (KG) with neural machine translation (NMT) have two problems: i) Knowledge under-utilization: they only focus on the entities that appear in both KG and training sentence pairs, making much knowledge in KG unable to be fully utilized.