Zhiwei Hu


2021

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GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation
Hongye Tan | Xiaoyue Wang | Yu Ji | Ru Li | Xiaoli Li | Zhiwei Hu | Yunxiao Zhao | Xiaoqi Han
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

2020

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Youling: an AI-assisted Lyrics Creation System
Rongsheng Zhang | Xiaoxi Mao | Le Li | Lin Jiang | Lin Chen | Zhiwei Hu | Yadong Xi | Changjie Fan | Minlie Huang
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Recently, a variety of neural models have been proposed for lyrics generation. However, most previous work completes the generation process in a single pass with little human intervention. We believe that lyrics creation is a creative process with human intelligence centered. AI should play a role as an assistant in the lyrics creation process, where human interactions are crucial for high-quality creation. This paper demonstrates Youling, an AI-assisted lyrics creation system, designed to collaborate with music creators. In the lyrics generation process, Youling supports traditional one pass full-text generation mode as well as an interactive generation mode, which allows users to select the satisfactory sentences from generated candidates conditioned on preceding context. The system also provides a revision module which enables users to revise undesired sentences or words of lyrics repeatedly. Besides, Youling allows users to use multifaceted attributes to control the content and format of generated lyrics. The demo video of the system is available at https://youtu.be/DFeNpHk0pm4.