update readme

README.md

@@ -5,11 +5,14 @@ language:
 metrics:
 - accuracy
 pipeline_tag: text-classification
+widget:
+- text: "A Checkpoint on Multilingual Misogyny Identification. We address the problem of identifying misogyny in tweets in mono and multilingual settings in three languages: English, Italian and Spanish. We explore model variations considering single and multiple languages both in the pre-training of the transformer and in the training of the downstream task to explore the feasibility of detecting misogyny through a transfer learning approach across multiple languages. That is, we train monolingual transformers with monolingual data and multilingual transformers with both monolingual and multilingual data. Our models reach state-of-the-art performance on all three languages. The single-language BERT models perform the best, closely followed by different configurations of multilingual BERT models. The performance drops in zero-shot classification across languages. Our error analysis shows that multilingual and monolingual models tend to make the same mistakes."
+  example_title: "Multilingual Misogyny Identification"
 ---
 
 # SciBERT NLP4SG
 
-SciBERT NLP4SG is a SciBERT model fine-tuned to detect NLP4SG papers.
+SciBERT NLP4SG is a SciBERT model fine-tuned to detect NLP4SG papers based on their title and abstract.
 
 We present the details in the paper: