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Models/RoB-RT

RoB-RT

Reported on 8 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing8 results

Sentiment AnalysisonTweetEval
Emotion· 2021-04-25
79.5
SOTA
XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond arXiv:2104.12250
Sentiment AnalysisonTweetEval
Offensive· 2021-04-25
80.5
SOTA
XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond arXiv:2104.12250
Sentiment AnalysisonTweetEval
ALL· 2021-04-25
65.2
best: 67.9 (BERTweet)
XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond arXiv:2104.12250
Sentiment AnalysisonTweetEval
Emoji· 2021-04-25
31.4
best: 33.4 (BERTweet)
XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond arXiv:2104.12250
Sentiment AnalysisonTweetEval
Hate· 2021-04-25
52.3
best: 52.6 (LSTM)
XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond arXiv:2104.12250
Sentiment AnalysisonTweetEval
Irony· 2021-04-25
61.7
best: 82.1 (BERTweet)
XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond arXiv:2104.12250
Sentiment AnalysisonTweetEval
Sentiment· 2021-04-25
72.6
best: 73.4 (BERTweet)
XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond arXiv:2104.12250
Sentiment AnalysisonTweetEval
Stance· 2021-04-25
69.3
best: 71.2 (BERTweet)
XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond arXiv:2104.12250