no code implementations • Findings (EMNLP) 2021 • Yunhe Xie, Kailai Yang, Chengjie Sun, Bingquan Liu, Zhenzhou Ji
However, these models neglect direct utterance-knowledge interaction.
Ranked #14 on Emotion Recognition in Conversation on DailyDialog
no code implementations • 20 Oct 2022 • Shaobo Li, Xiaoguang Li, Lifeng Shang, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu
Further experiments on question-answering datasets show that trying to learn a deterministic relationship with the proposed methods can also help other knowledge-intensive tasks.
no code implementations • Findings (ACL) 2022 • Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu
We check the words that have three typical associations with the missing words: knowledge-dependent, positionally close, and highly co-occurred.
no code implementations • 7 Sep 2021 • Shaobo Li, Qun Liu, Xin Jiang, Yichun Yin, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Lifeng Shang
Human-designed rules are widely used to build industry applications.
no code implementations • 31 Dec 2020 • Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu
In this paper, we propose a new retrieval target, hop, to collect the hidden reasoning evidence from Wikipedia for complex question answering.
Ranked #6 on Question Answering on HotpotQA
no code implementations • 18 Apr 2014 • Yaming Sun, Lei Lin, Duyu Tang, Nan Yang, Zhenzhou Ji, Xiaolong Wang
We present a method to leverage radical for learning Chinese character embedding.