no code implementations • ACL 2022 • Le Zhang, Rongsheng Zhang, Xiaoxi Mao, Yongzhu Chang
In this paper, we demonstrate the QiuNiu, a Chinese lyrics generation system which is conditioned on passage-level text rather than a few attributes or keywords.
no code implementations • 15 Feb 2024 • Jiashu Pu, Yajing Wan, Yuru Zhang, Jing Chen, Ling Cheng, Qian Shao, Yongzhu Chang, Tangjie Lv, Rongsheng Zhang
Previous in-context learning (ICL) research has focused on tasks such as classification, machine translation, text2table, etc., while studies on whether ICL can improve human-like dialogue generation are scarce.
no code implementations • 11 Sep 2023 • Jiashu Pu, Shiwei Zhao, Ling Cheng, Yongzhu Chang, Runze Wu, Tangjie Lv, Rongsheng Zhang
(iv) Adding more pre-training data does not improve generalization, but it can strengthen the advantage of pre-training on the original data volume, such as faster convergence.
no code implementations • 9 Aug 2023 • Yongzhu Chang, Rongsheng Zhang, Lin Jiang, Qihang Chen, Le Zhang, Jiashu Pu
In this paper, we introduce \textbf{\textit{Sudowoodo}}, a Chinese lyrics imitation system that can generate new lyrics based on the text of source lyrics.
no code implementations • 8 Aug 2023 • Yongzhu Chang, Rongsheng Zhang, Jiashu Pu
Simile detection is a valuable task for many natural language processing (NLP)-based applications, particularly in the field of literature.
1 code implementation • ACL 2022 • WeiJie Chen, Yongzhu Chang, Rongsheng Zhang, Jiashu Pu, Guandan Chen, Le Zhang, Yadong Xi, Yijiang Chen, Chang Su
In this paper, we probe simile knowledge from PLMs to solve the SI and SG tasks in the unified framework of simile triple completion for the first time.
no code implementations • 18 Jan 2022 • Jiashu Pu, Guandan Chen, Yongzhu Chang, Xiaoxi Mao
Existing task-oriented chatbots heavily rely on spoken language understanding (SLU) systems to determine a user's utterance's intent and other key information for fulfilling specific tasks.