Yasumasa Onoe
- PhD Student, UT Austin
- yasumasa@cs.utexas.edu
I am a PhD student in Computer Science at the University of Texas at Austin, advised by Greg Durrett. I am interested in developing intelligent systems modeling or replicating human intelligence. My research interests focus on natural language processing and machine learning, particularly in deep learning approaches for natural language understanding problems.
Before coming to Austin, I completed my master’s degree in Data Science at New York University. Prior to that I received my bachelor’s degree from Baruch College.
Interests. Natural Language Processing, Machine Learning
Before coming to Austin, I completed my master’s degree in Data Science at New York University. Prior to that I received my bachelor’s degree from Baruch College.
Interests. Natural Language Processing, Machine Learning
Publications
- Modeling Fine-Grained Entity Types with Box Embeddings, arXiv 2021. Yasumasa Onoe, Michael Boratko, and Greg Durrett
- Interpretable Entity Representations through Large-Scale Typing, Findings of EMNLP 2020. Yasumasa Onoe and Greg Durrett
- Fine-Grained Entity Typing for Domain Independent Entity Linking, AAAI 2020. Yasumasa Onoe and Greg Durrett [code] [poster]
- Learning to Denoise Distantly-Labeled Data for Entity Typing, NAACL 2019. Yasumasa Onoe and Greg Durrett [code] [poster]
- Gated Word-Character Recurrent Language Model, EMNLP 2016. Yasumasa Miyamoto (Onoe) and Kyunghyun Cho [code]