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README.md

@@ -30,7 +30,7 @@ BabyBerta was developed for learning grammatical knowledge from child-directed i
 Its grammatical knowledge was evaluated using the [Zorro](https://github.com/phueb/Zorro) test suite.
 The best model achieves an overall accuracy of 80.3, 
 comparable to RoBERTa-base, which achieves an overall accuracy of 82.6 on the latest version of Zorro (as of October, 2021).
-Both values differ slightly from those reported in the paper (Huebner et al., 2020). 
+Both values differ slightly from those reported in the [CoNLL 2021 paper](https://aclanthology.org/2021.conll-1.49/). 
 There are two reasons for this:
 1. Performance of RoBERTa-base is slightly larger because the authors previously lower-cased all words in Zorro before evaluation.
 Lower-casing of proper nouns is detrimental to RoBERTa-base because RoBERTa-base has likely been trained on proper nouns that are primarily title-cased.
@@ -58,10 +58,3 @@ More info can be found [here](https://github.com/phueb/BabyBERTa).
 [link-BabyBERTa-1]: https://huggingface.co/phueb/BabyBERTa-1
 [link-BabyBERTa-2]: https://huggingface.co/phueb/BabyBERTa-2
 [link-BabyBERTa-3]: https://huggingface.co/phueb/BabyBERTa-3
-
----
-language:
-- en
-tags:
-- acquisition
----