2021

Asahi Ushio, Jose Camacho-Collados, and Steven Schockaert
Distilling Relation Embeddings from Pre-trained Language Models
Proceedings of EMNLP 2021 Main Conference [pdf] [code] [slide]

Asahi Ushio, Federico Liberatore, and Jose Camacho-Collados
Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction
Proceedings of EMNLP 2021 Main Conference [pdf] [code] [slide]

Asahi Ushio, Luis Espinosa-Anke, Steven Schockaert, and Jose Camacho-Collados
BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?
Proceedings of ACL-IJCNLP 2021 Main Conference [pdf] [code] [slide]

Asahi Ushio and Jose Camacho-Collados
T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition
Proceedings of EACL 2021 System Demonstration [pdf] [code] [slide]

2019

Max F. Frenzel, Bogdan Teleaga, and Asahi Ushio
Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models
arXiv:1902.02113 [pdf]

Asahi Ushio and Masahiro Yukawa
Projection-based Regularized Dual Averaging for Stochastic Optimization
IEEE Trans. Signal Processing 2019 [pdf] [code]

Ken McAlinn, Asahi Ushio, and Teruo Nakatsuma
Volatility Forecasts Using Nonlinear Leverage Effects
Journal of Forecasting, 2019 [pdf]

2018

Asahi Ushio
Projection-based Regularized Dual Averaging for Stochastic Optimization with Its Applications to Classification and Regression
Master thesis, Keio University, 2018 [pdf] [code] [slide]

2017

Asahi Ushio and Masahiro Yukawa
Projection-based Regularized Dual Averaging for Stochastic Optimization
Proceedings of ICASSP 2017 [pdf] [code] [slide]