Natural Language Processing / Speech Processing
Understand human language.
Natural language is the most intuitive interface for most people and situations. By advancing human-robot interaction (HRI) via language, we aim to achieve “robots for everyone”, and a world where even non-experts can make use of such transformative technology. Our research in HRI spans multiple modalities and combines research in NLP, scene understanding, speech recognition, robotics, and augmented reality, in order to provide robust understanding of a wide variety of interactions.
Publications
Instance-based Learning of Span Representations: A Case Study through Named Entity Recognition
ACL 2020
By : Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui
Effective Adversarial Regularization for Neural Machine Translation
ACL 2019
By : Motoki Sato, Jun Suzuki, Shun Kiyono
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions
EMNLP 2018
By : Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui