COVID-19 Surveillance through Twitter using Self-Supervised Learning and Few Shot Learning

F Kamalov, AK Cherukuri, H Sulieman, F Thabtah… - Data science for …, 2023 - Elsevier

The COVID-19 pandemic has galvanized the machine learning community to create new
solutions that can help in the fight against the virus. The body of literature related to …

被引用次数：46 相关文章所有 7 个版本

[PDF] aclanthology.org

UPennHLP at WNUT-2020 Task 2: Transformer models for classification of COVID19 posts on Twitter

A Magge, V Pimpalkhute, D Rallapalli… - Proceedings of the …, 2020 - aclanthology.org

Increasing usage of social media presents new non-traditional avenues for monitoring
disease outbreaks, virus transmissions and disease progressions through user posts …

被引用次数：5 相关文章所有 3 个版本

[PDF] aclanthology.org

Winners at W-NUT 2020 shared task-3: Leveraging event specific and chunk span information for extracting COVID entities from tweets

A Kaushal, T Vaidhya - Proceedings of the Sixth Workshop on …, 2020 - aclanthology.org

Twitter has acted as an important source of information during disasters and pandemic,
especially during the times of COVID-19. In this paper, we describe our system entry for …

被引用次数：4 相关文章

[PDF] arxiv.org

Leveraging Event Specific and Chunk Span features to Extract COVID Events from tweets

A Kaushal, T Vaidhya - arXiv preprint arXiv:2012.10052, 2020 - arxiv.org

Twitter has acted as an important source of information during disasters and pandemic,
especially during the times of COVID-19. In this paper, we describe our system entry for …

[PDF][PDF] Winners at W-NUT 2020 Shared Task-3: Leveraging Event Specific and Chunk Span features to Extract COVID Events from tweets

A Kaushal, T Vaidhya - researchgate.net

Twitter has acted as an important source of information during disasters and pandemic,
especially during the times of COVID-19. In this paper, we describe our system entry for …