Papers by Shunsuke Kitada
AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss (2020.acl-srw)
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| Challenge: | a novel image-based character embedding framework is used for text classification in Arabic . classical methods require morphological analysis, word segmentation, and hand-crafted feature engineering. |
| Approach: | They propose a novel end-to-end Arabic document classification framework, Arabic document image-based classifier, inspired by image-basic character embeddings. |
| Outcome: | The proposed framework improves on modern standard Arabic, colloquial Arabic, and Classical Arabic. |
A11y-Compressor: A Framework for Enhancing the Efficiency of GUI Agent Observations through Visual Context Reconstruction and Redundancy Reduction (2026.acl-srw)
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| Challenge: | Existing approaches to grounding GUI environments are categorized into image-based and text-based representations. |
| Approach: | They propose a framework that transforms linearized accessibility trees into compact and structured representations. |
| Outcome: | The proposed framework reduces input tokens to 22% of the original while improving task success rates by 5.1 percentage points on average. |
Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation (2020.aacl-srw)
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| Challenge: | a character-based text classification framework for non-alphabetic languages is proposed . glyphs are used to give visual meaning to characters, such as "" and "." |
| Approach: | They propose a character-based text classification framework for non-alphabetic languages . they propose glyph-aware disentangled character embeddings that are dimensionally independent . |
| Outcome: | The proposed framework improves the performance of Japanese text classification tasks . it provides embedding interpretability and performance competitively with the state-of-the-art model . |