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 . |
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