Papers by Michael Chavinda
TaTA: A Multilingual Table-to-Text Dataset for African Languages (2023.findings-emnlp)
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Sebastian Gehrmann, Sebastian Ruder, Vitaly Nikolaev, Jan Botha, Michael Chavinda, Ankur Parikh, Clara Rivera
| Challenge: | Existing data-to-text generation datasets are limited to English and a small number of other languages. |
| Approach: | They create the first large multilingual table-to-text dataset with a focus on African languages. |
| Outcome: | The proposed dataset includes 8,700 examples in nine languages including four African languages and a zero-shot test language. |