1 code implementation • EMNLP 2021 • Xuan Wang, Vivian Hu, Xiangchen Song, Shweta Garg, Jinfeng Xiao, Jiawei Han
For example, chemistry research needs to study dozens to hundreds of distinct, fine-grained entity types, making consistent and accurate annotation difficult even for crowds of domain experts.
no code implementations • 4 Jul 2023 • Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han
Structured chemical reaction information plays a vital role for chemists engaged in laboratory work and advanced endeavors such as computer-aided drug design.
no code implementations • 3 Apr 2023 • Tian Huey Teh, Vivian Hu, Devang S Ram Mohan, Zack Hodari, Christopher G. R. Wallis, Tomás Gomez Ibarrondo, Alexandra Torresquintero, James Leoni, Mark Gales, Simon King
Generating expressive speech with rich and varied prosody continues to be a challenge for Text-to-Speech.
no code implementations • 15 Jun 2021 • Devang S Ram Mohan, Vivian Hu, Tian Huey Teh, Alexandra Torresquintero, Christopher G. R. Wallis, Marlene Staib, Lorenzo Foglianti, Jiameng Gao, Simon King
Text does not fully specify the spoken form, so text-to-speech models must be able to learn from speech data that vary in ways not explained by the corresponding text.
no code implementations • 15 Jun 2021 • Alexandra Torresquintero, Tian Huey Teh, Christopher G. R. Wallis, Marlene Staib, Devang S Ram Mohan, Vivian Hu, Lorenzo Foglianti, Jiameng Gao, Simon King
Text-to-speech is now able to achieve near-human naturalness and research focus has shifted to increasing expressivity.