Naoya Ueda — accepted AI-conference papers

2024

Token-length Bias in Minimal-pair Paradigm Datasets

Naoya Ueda, Masato Mita, Teruaki Oka, Mamoru Komachi

COLING 2024main

Minimal-pair paradigm datasets have been used as benchmarks to evaluate the linguistic knowledge of models and provide an unsupervised method of acceptability judgment. The model performances are evaluated based on the percentage of minimal pairs in the MPP dataset where the model assigns a higher s…

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2017

Estimation of EMG signal for shoulder joint based on EEG signals for the control of upper-limb power assistance devices

Hongbo Liang, Chi Zhu, Masataka Yoshioka, Naoya Ueda, Ye Tian, Yu Iwata +3

ICRA 2017poster

Brain-Machine Interface (BMI) has emerged as a powerful tool for assisting disabled people and for augmenting human performance. Up so far, no studies have succeeded in the power augmentation for the multi-DOFs robot based on EEG signals, especially for the complex shoulder joint. In this work, we p…

Cited by 8 Source ↗Scholar ↗