Update README.md

README.md

@@ -75,39 +75,31 @@ The weak annotation was performed using GPT-4o. The prompt for labeling the data
 #### Training Hyperparameters
 
 Weakly-supervised Training on Telegram Data
-Epochs: 10
-Batch size: 16
-learning_rate: 2e-5
-weight_decay: 0.01
-fp16: True
+
+- Epochs: 10
+- Batch size: 16
+- learning_rate: 2e-5
+- weight_decay: 0.01
+- fp16: True
 
 Supervised Training on Risch et al. 2021 Data
-Epochs: 10
-Batch size: 16
-learning_rate: 2e-5
-weight_decay: 0.01
-fp16: True
+
+- Epochs: 10
+- Batch size: 16
+- learning_rate: 2e-5
+- weight_decay: 0.01
+- fp16: True
 
 
 
 
 **BibTeX:**
 
-@misc{wilms_annotation_2021,
-	title = {Annotation {Guidelines} for {GermEval} 2021 {Shared} {Task} on the {Identification} of {Toxic}, {Engaging}, and {Fact}-{Claiming} {Comments}. {Excerpt} of an unpublished codebook of the {DEDIS} research group at {Heinrich}-{Heine}-{University} {Düsseldorf} (full version available on request)},
-	author = {Wilms, L. and Heinbach, D. and Ziegele, M.},
-	year = {2021},
-}
-
-@inproceedings{risch_overview_2021,
-	address = {Duesseldorf, Germany},
-	title = {Overview of the {GermEval} 2021 {Shared} {Task} on the {Identification} of {Toxic}, {Engaging}, and {Fact}-{Claiming} {Comments}},
-	url = {https://aclanthology.org/2021.germeval-1.1},
-	booktitle = {Proceedings of the {GermEval} 2021 {Shared} {Task} on the {Identification} of {Toxic}, {Engaging}, and {Fact}-{Claiming} {Comments}},
-	publisher = {Association for Computational Linguistics},
-	author = {Risch, Julian and Stoll, Anke and Wilms, Lena and Wiegand, Michael},
-	year = {2021},
-}
+**Wilms, L., Heinbach, D., & Ziegele, M.** (2021). *Annotation Guidelines for GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments. Excerpt of an unpublished codebook of the DEDIS research group at Heinrich-Heine-University Düsseldorf (full version available on request).* 
+
+---
+
+**Risch, J., Stoll, A., Wilms, L., & Wiegand, M.** (2021). *Overview of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments.* In *Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments.* Association for Computational Linguistics. Available at: [https://aclanthology.org/2021.germeval-1.1](https://aclanthology.org/2021.germeval-1.1)