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Found 7 papers, 4 papers with code
An Exploratory Study of COVID-19 Misinformation on Twitter
Although a lot of correct and useful information is shared through channels such as Twitter, it has also become a home ground for misinformation on COVID-19.
Social and Information Networks Computers and Society
Transfer Learning for Health-related Twitter Data
Transfer learning is promising for many NLP applications, especially in tasks with limited labeled data.
Breaking BERT: Understanding its Vulnerabilities for Named Entity Recognition through Adversarial Attack
Experimental results show that BERT models are vulnerable to variation in the entity context with 20. 2 to 45. 0% of entities predicted completely wrong and another 29. 3 to 53. 3% of entities predicted wrong partially.
FuzzyBIO: A Proposal for Fuzzy Representation of Discontinuous Entities
Using FuzzyBIO also improves end-to-end performance for continuous and composite entities in two of three data sets.
Knowledge Discovery and Hypothesis Generation from Online Patient Forums: A Research Proposal
The unprompted patient experiences shared on patient forums contain a wealth of unexploited knowledge.
Lexical Normalization of User-Generated Medical Text
In the medical domain, user-generated social media text is increasingly used as a valuable complementary knowledge source to scientific medical literature.
Conversation-Aware Filtering of Online Patient Forum Messages
We experiment with two approaches to add conversational context to a BERT model: a sequential CRF layer and manually engineered features.
