Papers by Iben Nyholm Debess
Evaluating the Potential of Language-family-specific Generative Models for Low-resource Data Augmentation: A Faroese Case Study (2024.lrec-main)
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| Challenge: | generative language models have shown promising results for translation in zero, one, and fewshot learning settings, among other types of tasks. |
| Approach: | They propose to prompt a generative language model for the Nordic languages for Faroese to English translation in a zero, one, and few-shot setting and challenge its Farose language understanding capabilities on a small dataset. |
| Outcome: | The proposed model can translate Faroese to English in a zero, one, and few-shot setting and then use it to create an annotated Farose semantic textual similarity (STS) dataset. |
Good or Bad News? Exploring GPT-4 for Sentiment Analysis for Faroese on a Public News Corpora (2024.lrec-main)
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| Challenge: | Existing studies on sentiment analysis in low-resource languages have focused on major languages and emotionally laden text genres like social media and reviews. |
| Approach: | They propose to use GPT-4 for sentiment analysis on Faroese news texts using a multi-class approach with 225 sentences analysed in 170 articles. |
| Outcome: | The proposed model performs remarkably well on 225 sentences and 170 articles compared to human annotators . |
Creating a Basic Language Resource Kit for Faroese (2022.lrec-1)
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| Challenge: | a few resources exist for Faroese, but many of them are insufficient size and quality or are not easily accessible. |
| Approach: | They propose to make a BLARK for Faroese that will be open-source and use other languages' resources. |
| Outcome: | The proposed BLARK will be a pillar in Faroese LR, and will be open-source . authors comment on the faulty yet sprouting LT situation in the Faroest islands . |