readme

README.md

@@ -18,6 +18,7 @@ Included datasets :
 
 #### References
 
+```
 @inproceedings{chiril2020annotated,
   title={An Annotated Corpus for Sexism Detection in French Tweets},
   author={Chiril, Patricia and Moriceau, V{\'e}ronique and Benamara, Farah and Mari, Alda and Origgi, Gloria and Coulomb-Gully, Marl{\`e}ne},
@@ -25,7 +26,9 @@ Included datasets :
   pages={1397--1403},
   year={2020}
 }
+```
 
+```
 @inproceedings{ousidhoum-etal-multilingual-hate-speech-2019,
 		title = "Multilingual and Multi-Aspect Hate Speech Analysis",
 		author = "Ousidhoum, Nedjma
@@ -37,17 +40,24 @@ Included datasets :
 		year = "2019",
 		publisher =	"Association for Computational Linguistics",
 }
+```
 
+```
 Vanetik, N.; Mimoun, E. Detection of Racist Language in French Tweets. Information 2022, 13, 318. https://doi.org/10.3390/info13070318
+```
 
+```
 @article{kennedy2020constructing,
   title={Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application},
   author={Kennedy, Chris J and Bacon, Geoff and Sahn, Alexander and von Vacano, Claudia},
   journal={arXiv preprint arXiv:2009.10277},
   year={2020}
 }
+```
 
+```
 Anaïs Ollagnier, Elena Cabrio, Serena Villata, Catherine Blaya. CyberAgressionAdo-v1: a Dataset of Annotated Online Aggressions in French Collected through a Role-playing Game. Language Resources and Evaluation Conference, Jun 2022, Marseille, France. ⟨hal-03765860⟩
+```
 
 ### Translation
 
@@ -75,4 +85,4 @@ Each sample is annotated with "0" if negative sample and "1" if positive sample.
 - MLMA dataset :
 - CAA dataset :
 - "Annotated Corpus" dataset : 
-- UC-Berkeley Measuring Hate Speech dataset : average hate_speech_score > 0 => 1
+- UC-Berkeley Measuring Hate Speech dataset : average hate_speech_score > 0 -> 1