Natural Language Processing

Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation

Proc. of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop

Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training

In recent years, deep learning models have placed more emphasis on the interpretability and robustness of models. The attention mechanism is an important technique that contributes to these elements and is widely used, especially in the natural …

AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss

Proc. of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

文字単位の解釈可能な潜在表現のdata augmentation

言語処理学会第 26 回年次大会, 2020.

Image-based Character Embedding for Arabic Document Classification

言語処理学会第 26 回年次大会, 2020.

Script-aware embedding を用いた文字表現の獲得

言語処理学会第 26 回年次大会, 2020.

解釈性向上のための注意機構と損失勾配に対する関連損失の導入

NLP 若手の会 (YANS) 第 14 回シンポジウム, 2019. **奨励賞** 受賞

Image Based Character Embeddings for Arabic Document Classification

NLP 若手の会 (YANS) 第 14 回シンポジウム, 2019.

日本語の文字体系を考慮した文書分類モデルの提案

NLP 若手の会 (YANS) 第 14 回シンポジウム, 2019.

End-to-End Text Classification via Image-based Embedding using Character-level Networks

Proc. of IEEE Applied Imagery Pattern Recognition (AIPR) 2018 Workshop