Twitter  has become an important communication channel in times of emergency. The ubiquitousness of smartphones enables people to announce an emergency they're observing in real-time. Because of this , more agencies are interested in programatically monitoring Twitter (disaster URLanizations and news agencies) and therefore recognizing the informativeness of a tweet can help filter noise from  large volumes of data . In this paper, we present our submission for WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets. Our most successful model is an ensemble of transformers  including RoBERTa, XLNet, and BERTweet trained in a semi-supervised experimental setting. The proposed system achieves a F1 score of 0.9011 on the test set (ranking 7th on the leaderboard) , and shows significant gains in performance compared to a baseline system using fasttext embeddings.
Twitter and, in general, social media has become an indispensable communication channel in times of emergency. The ubiquitousness of smartphone gadgets enables people to declare an emergency observed in real-time. As a result , more agencies are interested in programmatically monitoring Twitter (disaster URLanizations and news agencies) . Therefore, recognizing the informativeness of a Tweet can help filter noise from the large volumes of Tweets . In this paper, we present our submission for WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets. Our most successful model is an ensemble of transformers , including RoBERTa, XLNet, and BERTweet trained in a Semi-Supervised Learning (SSL) setting. The proposed system achieves an F1 score of 0.9011 on the test set (ranking 7th on the leaderboard) and shows significant gains in performance compared to a baseline system using FastText embeddings.
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and, in general, social media
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important
indispensable
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smartphones
smartphone gadgets
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announce an emergency they're observing
declare an emergency observed
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Because of this
As a result
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programatically
programmatically
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and therefore
. Therefore,
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tweet
Tweet
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the
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data
Tweets
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,
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semi-supervised experimental
Semi-Supervised Learning (SSL)
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a
an
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,
R
fasttext
FastText