Generating Chinese Ci with Designated Metrical Structure
PRESENTER:
Yongyi Mao
University of Ottawa
ABSTRACT:
Ci is a lyric poetry form that follows highly restrictive metrical
structures. This makes it challenging for a computer to compose Ci subject
to a specified metrical requirement. In this work, we adapt the CVAE
framework to automated Ci generation under metrical constraints.
Specifically, we present the first neural model that explicitly encodes
the designated metrical structure for Ci generation. The proposed model is
shown experimentally to generate Ci with nearly perfect metrical
structures. This work is presented in AAAI 2019 and is a joint work with
Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, and Zhaoqing Xu.
Speaker's Bio: Yongyi Mao received his Bachelor of Engineering degree at
the Southeast University (Nanjing, China) in 1992. In 1995, he received
his medical degree at Nanjing Medical University (Nanjing, China). In
1998, Yongyi Mao obtained his Master of Science degree at the University
of Toronto, in the Department of Medical Biophysics . In 2003, he
completed his PhD in electrical engineering at the University of Toronto
and joined the faculty of EECS at the University of Ottawa as an Assistant
Professor. He was promoted to Associate Professor in 2008 and then to Full
Professor in 2012. Yongyi Mao's research interest includes information
theory, machine learning and their applications.