| Challenge: | Existing benchmarks for classical Chinese are inadequate to evaluate performance of different NLP models. |
| Approach: | They propose an evaluation benchmark for classical Chinese NLP, which evaluates existing models. |
| Outcome: | The proposed benchmark evaluates the performance of existing models in classical Chinese. |
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KLEJ: Comprehensive Benchmark for Polish Language Understanding (2020.acl-main)
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| Challenge: | Recent introduction of robust, general-purpose models for fine-tuning has enabled improvements in general natural language understanding (NLU) but such benchmarks are only available for a handful of languages. |
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IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding (2020.aacl-main)
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Bryan Wilie, Karissa Vincentio, Genta Indra Winata, Samuel Cahyawijaya, Xiaohong Li, Zhi Yuan Lim, Sidik Soleman, Rahmad Mahendra, Pascale Fung, Syafri Bahar, Ayu Purwarianti
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