no code implementations • COLING 2022 • Hiroki Teranishi, Yuji Matsumoto
Generating synthetic data for supervised learning from large-scale pre-trained language models has enhanced performances across several NLP tasks, especially in low-resource scenarios.
1 code implementation • 23 May 2023 • Shohei Higashiyama, Hiroki Ouchi, Hiroki Teranishi, Hiroyuki Otomo, Yusuke Ide, Aitaro Yamamoto, Hiroyuki Shindo, Yuki Matsuda, Shoko Wakamiya, Naoya Inoue, Ikuya Yamada, Taro Watanabe
Geoparsing is a fundamental technique for analyzing geo-entity information in text.
no code implementations • COLING 2020 • Yuya Sawada, Takashi Wada, Takayoshi Shibahara, Hiroki Teranishi, Shuhei Kondo, Hiroyuki Shindo, Taro Watanabe, Yuji Matsumoto
We propose a simple method for nominal coordination boundary identification.
no code implementations • NAACL 2019 • Hiroki Teranishi, Hiroyuki Shindo, Yuji Matsumoto
We propose a simple and accurate model for coordination boundary identification.
no code implementations • IJCNLP 2017 • Hiroki Teranishi, Hiroyuki Shindo, Yuji Matsumoto
We propose a neural network model for coordination boundary detection.