Papers by Janusz Tracz
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. |
| Approach: | They propose a multi-task benchmark for the Polish language understanding with an online leaderboard . they also propose GLUE, a task for named entity recognition and sentiment analysis . |
| Outcome: | The proposed model performs best on three out of nine tasks in the Polish language . the proposed model is also used in an e-commerce domain to analyze the sentiments of users . |