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| Hauptverfasser: | , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2401.16209 |
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| _version_ | 1866909086016077824 |
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| author | Gantt, William Behzad, Shabnam An, Hannah YoungEun Chen, Yunmo White, Aaron Steven Van Durme, Benjamin Yarmohammadi, Mahsa |
| author_facet | Gantt, William Behzad, Shabnam An, Hannah YoungEun Chen, Yunmo White, Aaron Steven Van Durme, Benjamin Yarmohammadi, Mahsa |
| contents | We introduce MultiMUC, the first multilingual parallel corpus for template filling, comprising translations of the classic MUC-4 template filling benchmark into five languages: Arabic, Chinese, Farsi, Korean, and Russian. We obtain automatic translations from a strong multilingual machine translation system and manually project the original English annotations into each target language. For all languages, we also provide human translations for sentences in the dev and test splits that contain annotated template arguments. Finally, we present baselines on MultiMUC both with state-of-the-art template filling models and with ChatGPT. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_16209 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | MultiMUC: Multilingual Template Filling on MUC-4 Gantt, William Behzad, Shabnam An, Hannah YoungEun Chen, Yunmo White, Aaron Steven Van Durme, Benjamin Yarmohammadi, Mahsa Computation and Language Artificial Intelligence We introduce MultiMUC, the first multilingual parallel corpus for template filling, comprising translations of the classic MUC-4 template filling benchmark into five languages: Arabic, Chinese, Farsi, Korean, and Russian. We obtain automatic translations from a strong multilingual machine translation system and manually project the original English annotations into each target language. For all languages, we also provide human translations for sentences in the dev and test splits that contain annotated template arguments. Finally, we present baselines on MultiMUC both with state-of-the-art template filling models and with ChatGPT. |
| title | MultiMUC: Multilingual Template Filling on MUC-4 |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2401.16209 |