A Dual-Directional Context-Aware Test-Time Learning for Text Classification
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866913906318901248 |
|---|---|
| author | Xu, Dong Liao, Mengyao Lai, Zhenglin Li, Xueliang Ji, Junkai |
| author_facet | Xu, Dong Liao, Mengyao Lai, Zhenglin Li, Xueliang Ji, Junkai |
| contents | Text classification assigns text to predefined categories. Traditional methods struggle with complex structures and long-range dependencies. Deep learning with recurrent neural networks and Transformer models has improved feature extraction and context awareness. However, these models still trade off interpretability, efficiency and contextual range. We propose the Dynamic Bidirectional Elman Attention Network (DBEAN). DBEAN combines bidirectional temporal modeling and self-attention. It dynamically weights critical input segments and preserves computational efficiency. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_15469 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Dual-Directional Context-Aware Test-Time Learning for Text Classification Xu, Dong Liao, Mengyao Lai, Zhenglin Li, Xueliang Ji, Junkai Computation and Language Artificial Intelligence Text classification assigns text to predefined categories. Traditional methods struggle with complex structures and long-range dependencies. Deep learning with recurrent neural networks and Transformer models has improved feature extraction and context awareness. However, these models still trade off interpretability, efficiency and contextual range. We propose the Dynamic Bidirectional Elman Attention Network (DBEAN). DBEAN combines bidirectional temporal modeling and self-attention. It dynamically weights critical input segments and preserves computational efficiency. |
| title | A Dual-Directional Context-Aware Test-Time Learning for Text Classification |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2503.15469 |