基本信息
浏览量:167
职业迁徙
个人简介
My research lies in the intersection of machine learning and natural language. In particular, I design unsupervised learning algorithms for processing text and speech, from discovering phonemes and words to higher level semantics and understanding. My goal is to build human language technology (e.g., speech recognition, synthesis, and translation) using minimal human-annotated data. In summer 2018, I interned at the Tacotron team within Google Perception working on improving end-to-end speech synthesis models in terms of data efficiency during training. In summer 2019, I interned at Google Brain working on self-supervised language representation learning for zero-shot abstractive text summarization.
研究兴趣
论文共 19 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn