Papers by Sindhuja Gopalan
Scaling Neural ITN for Numbers and Temporal Expressions in Tamil: Findings for an Agglutinative Low-resource Language (2023.emnlp-industry)
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| Challenge: | Inverse Text Normalisation (ITN) is a textrewriting task that converts verbalized text to written form. |
| Approach: | They propose to use a seq2seq model, a non-autoregressive text editor and a sequence tagger + rules combination to fine-tune three pre-trained neural models. |
| Outcome: | The proposed model improves with bootstrapping and data augmentation, and bootstrap alone shows a percentage improvement of 14.12 %. |
Zero-shot Slot Filling in the Age of LLMs for Dialogue Systems (2025.coling-industry)
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| Challenge: | Existing methods for zero-shot slot filling focus on text data, overlooking conversational data. |
| Approach: | They propose a method for automatic data annotation with slot induction and black-box knowledge distillation from a teacher LLM to a smaller model. |
| Outcome: | The proposed method outperforms existing models on internal datasets by 26% relative increase in F1 score. |