Papers by Aquia Richburg
Data Cartography for Low-Resource Neural Machine Translation (2022.findings-emnlp)
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| Challenge: | Existing methods to improve machine translation (MT) in low-resource settings are limited in the number of languages spoken in the world. |
| Approach: | They apply cartography techniques to characterize the contribution of training samples in two low-resource MT tasks (Swahili-English and Turkish-English) they argue that data augmentation strategies for low-Resource ML would benefit from model-in-the-loop strategies to maximize improvements. |
| Outcome: | The proposed methods show that training samples contribute to model training in low-resource MT tasks, albeit not uniformly throughout the training process. |
Automatic Authorship Analysis in Human-AI Collaborative Writing (2024.lrec-main)
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| Challenge: | Existing methods for authorship analysis and text detection are limited . authors: human-AI collaborative writing poses a potential challenge for existing methods . |
| Approach: | They investigate the extent to which existing AI detection and authorship analysis models can perform classification on data generated in human-AI collaborative writing sessions. |
| Outcome: | The proposed models outperform existing models on human-AI collaborative writing data . authors say human- AI co-written text will require adapting models in the near future . |