4 citations · 6 across the 4 of their papers we have counts for
5 papers
How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection
Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu +2
Hate speech moderation remains a challenging task for social media platforms. Human-AI collaborative systems offer the potential to combine the strengths of humans' reliability and…
ControversialQA: Exploring Controversy in Question Answering
Zhen Wang, Peide Zhu, Jie Yang
Controversy is widespread online. Previous studies mainly define controversy based on vague assumptions of its relation to sentiment such as hate speech and offensive words. This p…
Rethinking and Recomputing the Value of Machine Learning Models
Burcu Sayin, Jie Yang, Xinyue Chen +2
In this paper, we argue that the prevailing approach to training and evaluating machine learning models often fails to consider their real-world application within organizational o…
On the Value of ML Models
Fabio Casati, Pierre-André Noël, Jie Yang
We argue that, when establishing and benchmarking Machine Learning (ML) models, the research community should favour evaluation metrics that better capture the value delivered by t…
The Science of Rejection: A Research Area for Human Computation
Burcu Sayin, Jie Yang, Andrea Passerini +1
We motivate why the science of learning to reject model predictions is central to ML, and why human computation has a lead role in this effort.