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@@ -34,7 +34,7 @@ Tokenizer utilizes `XLMTokenizer` implementation for that reason, one should loa
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  HerBERT was evaluated on the [KLEJ](https://klejbenchmark.com/) benchmark, publicly available set of nine evaluation tasks for the Polish language understanding.
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  It had the best average performance and obtained the best results for three of them.
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- | Model | Average | NKJP-NER | CDSC-E | CDSC-R | CBD | PolEmo2.0-IN |PolEmo2.0-OUT | DYK | PSC | AR |
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  | :------ | ------: | ------: | ------: | ------: | ------: | ------: | ------: | ------: | ------: | ------: |
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  | herbert-klej-cased-v1 | **80.5** | 92.7 | 92.5 | 91.9 | **50.3** | **89.2** |**76.3** |52.1 |95.3 | 84.5 |
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@@ -68,18 +68,24 @@ CC BY-SA 4.0
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  ## Citation
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  If you use this model, please cite the following paper:
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  ```
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- @misc{rybak2020klej,
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- title={KLEJ: Comprehensive Benchmark for Polish Language Understanding},
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- author={Piotr Rybak and Robert Mroczkowski and Janusz Tracz and Ireneusz Gawlik},
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- year={2020},
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- eprint={2005.00630},
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- archivePrefix={arXiv},
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- primaryClass={cs.CL}
 
 
 
 
 
 
 
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  }
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  ```
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- Paper is accepted at ACL 2020, as soon as proceedings appear, we will update the BibTeX.
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  ## Authors
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- Model was trained by **Allegro Machine Learning Research** team.
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  You can contact us at: <a href="mailto:klejbenchmark@allegro.pl">klejbenchmark@allegro.pl</a>
 
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  HerBERT was evaluated on the [KLEJ](https://klejbenchmark.com/) benchmark, publicly available set of nine evaluation tasks for the Polish language understanding.
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  It had the best average performance and obtained the best results for three of them.
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+ | Model | Average | NKJP-NER | CDSC-E | CDSC-R | CBD | PolEmo2.0-IN\t|PolEmo2.0-OUT | DYK | PSC | AR\t|
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  | :------ | ------: | ------: | ------: | ------: | ------: | ------: | ------: | ------: | ------: | ------: |
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  | herbert-klej-cased-v1 | **80.5** | 92.7 | 92.5 | 91.9 | **50.3** | **89.2** |**76.3** |52.1 |95.3 | 84.5 |
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  ## Citation
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  If you use this model, please cite the following paper:
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  ```
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+ @inproceedings{rybak-etal-2020-klej,
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+ title = "{KLEJ}: Comprehensive Benchmark for {P}olish Language Understanding",
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+ author = "Rybak, Piotr and
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+ Mroczkowski, Robert and
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+ Tracz, Janusz and
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+ Gawlik, Ireneusz",
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+ booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
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+ month = jul,
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+ year = "2020",
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+ address = "Online",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://www.aclweb.org/anthology/2020.acl-main.111",
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+ doi = "10.18653/v1/2020.acl-main.111",
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+ pages = "1191--1201",
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  }
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  ```
 
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  ## Authors
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+ The model was trained by **Allegro Machine Learning Research** team.
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  You can contact us at: <a href="mailto:klejbenchmark@allegro.pl">klejbenchmark@allegro.pl</a>