Papers by Thanakorn Thaminkaew
Label-Aware Automatic Verbalizer for Few-Shot Text Classification in Mid-To-Low Resource Languages (2024.acl-srw)
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| Challenge: | Prompt-based learning has shown its effectiveness in few-shot text classification. |
| Approach: | They propose a prompt-based learning verbalizer that automatically selects a word to represent each class . they use the label name along with the conjunction "and" to induce the model to generate more effective words for the verbaliser. |
| Outcome: | The proposed method outperforms existing verbalizers on four Southeast Asian languages. |