Publications
Journals
Discovering Unusual Word Usages with Masked Language Model via Pseudo-label Training.
Tatsuya Aoki, Jey Han Lau, Hidetaka Kamigaito, Hiroya Takamura, Timothy Baldwin, and Manabu Okumura.
Journal of Natural Language Processing, Vol. 32, No. 1, 2025.
Detecting Non-standard Word Usages from Social Media. (in Japanese)
Tatsuya Aoki, Ryohei Sasano, Hiroya Takamura and Manabu Okumura.
Journal of Natural Language Processing, Vol. 26, No. 2, 2019.
Detecting Earthquake Survivors with Serious Mental Affliction.
Tatsuya Aoki, Katsumasa Yoshikawa, Tetsuya Nasukawa, Hiroya Takamura and Manabu Okumura.
Computational Linguistics, Springer Nature, Vol. 781, pp. 3–14, 2018.
International Conferences
Neural Text Normalization Leveraging Similarities of Strings and Sounds.
Riku Kawamura, Tatsuya Aoki, Hidetaka Kamigaito, Hiroya Takamura and Manabu Okumura.
COLING 2020.
Controlling Contents in Data-to-Document Generation with Human-Designed Topic Labels.
Kasumi Aoki, Akira Miyazawa, Tatsuya Ishigaki, Tatsuya Aoki, Hiroshi Noji, Keiichi Goshima, Ichiro Kobayashi, Hiroya Takamura and Yusuke Miyao.
INLG 2019.paper ↗
Generating Market Comments Referring to External Resources.
Tatsuya Aoki, Akira Miyazawa, Kasumi Aoki, Keiichi Goshima, Tatsuya Ishigaki, Ichiro Kobayashi, Hiroya Takamura and Yusuke Miyao.
INLG 2018.paper ↗
Distinguishing Japanese Non-standard Usages from Standard Ones.
Tatsuya Aoki, Ryohei Sasano, Hiroya Takamura and Manabu Okumura.
EMNLP 2017.paper ↗
Detecting Earthquake Survivors with Serious Mental Affliction.
Tatsuya Aoki, Katsumasa Yoshikawa, Tetsuya Nasukawa, Hiroya Takamura and Manabu Okumura.
PACLING 2017.
時系列数値データにおける変化要因の記述
Tatsuya Aoki, Akira Miyazawa, Kasumi Aoki, Keiichi Goshima, Ichiro Kobayashi, Hiroya Takamura and Yusuke Miyao.
言語処理学会 第24回年次大会 (2018.3)
ソーシャルメディアにおける俗語の検出
Tatsuya Aoki, Ryohei Sasano, Hiroya Takamura and Manabu Okumura.
言語処理学会 第23回年次大会 (2017.3)paper ↗
震災被災者のソーシャルメディア分析を通じたメンタルケアの可能性
Tatsuya Aoki, Tetsuya Nasukawa, Katsumasa Yoshikawa, Hiroya Takamura and Manabu Okumura.
第10回テキストマイニングシンポジウム (2017.2)
Experience
2022.05 – Present
Machine Learning Engineer
Apple Inc.
2020.10 – 2022.04
Input Method Engineer
Apple Japan Inc.
2019.07 – 2019.11
ML/NLP Intern
Apple Inc.
2018.06 – 2019.05
Visiting Student
UniMelb NLP Group · Prof. Timothy Baldwin · University of Melbourne
2016.12 – 2017.02
Research Assistant
2016.09 – 2016.11
Research Intern
Miscellaneous
PyTorch Implementations
Dependency Parsing as Head Selection — Zhang et al., EACL 2017. github ↗
With an empirical result showing ELMo embedding improves accuracy.
context2vec: Learning Generic Context Embedding with Bidirectional LSTM — Melamud et al., CoNLL 2016. github ↗
3× speed-up compared to the original implementation.