BIP! Finder - NLP North at WNUT-2020 Task 2: Pre-training versus Ensembling for Detection of Informative COVID-19 English Tweets

2020 • NLP North at WNUT-2020 Task 2: Pre-training versus Ensembling for Detection of Informative COVID-19 English Tweets

Authors: Møller, Anders Giovanni; van der Goot, Rob; Plank, Barbara

Venue: Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)

Type: Publication

Abstract: With the COVID-19 pandemic raging world-wide since the beginning of the 2020 decade, the need for monitoring systems to track relevant information on social media is vitally important. This paper describes our submission to the WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets. We investigate the effectiveness for a variety of classification models, and found that domain-specific pre-trained BERT models lead to the best performance. On top of this, we attempt a variety of ensembling strategies, but these attempts did not l... (read more)

Impact:

1.6176243E-8 4.6256057E-9 14 11

/ Attention: 0 14

Topics: Artificial intelligence Natural language processing Machine learning

DOI: 10.18653/v1/2020.wnut-1.44

External links: Crossref OpenAIRE

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