| Autor: |
Lev Kharlashkin, Melany Macias, Leo Huovinen, Mika Hämäläinen |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Journal of Data Mining and Digital Humanities, Vol NLP4DH (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2416-5999 |
| DOI: |
10.46298/jdmdh.13127 |
| Popis: |
We present our work on predicting United Nations sustainable development goals (SDG) for university courses. We use an LLM named PaLM 2 to generate training data given a noisy human-authored course description input as input. We use this data to train several different smaller language models to predict SDGs for university courses. This work contributes to better university level adaptation of SDGs. The best performing model in our experiments was BART with an F1-score of 0.786. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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