65 citations · 192 across the 33 of their papers we have counts for
4 papers · 1 filter
FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data
Nuredin Ali Abdelkadir, Anjali Ratnam, Zeerak Talat +1
Social media text data are often used to train Machine Learning (ML) models to identify users exhibiting high-risk mental health behaviors. However, sharing this sensitive data pos…
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels
Eve Fleisig, Su Lin Blodgett, Dan Klein +1
Longstanding data labeling practices in machine learning involve collecting and aggregating labels from multiple annotators. But what should we do when annotators disagree? Though…
A Federated Approach for Hate Speech Detection
Jay Gala, Deep Gandhi, Jash Mehta +1
Hate speech detection has been the subject of high research attention, due to the scale of content created on social media. In spite of the attention and the sensitive nature of th…
A Federated Approach to Predicting Emojis in Hindi Tweets
Deep Gandhi, Jash Mehta, Nirali Parekh +3
The use of emojis affords a visual modality to, often private, textual communication. The task of predicting emojis however provides a challenge for machine learning as emoji use t…