92 citations · 154 across the 20 of their papers we have counts for
6 papers · 2 filters
Fake News and Hate Speech: Language in Common
Berta Chulvi, Alejandro Toselli, Paolo Rosso
In this paper we raise the research question of whether fake news and hate speech spreaders share common patterns in language. We compute a novel index, the ingroup vs outgroup ind…
Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2020
Maaz Amjad, Grigori Sidorov, Alisa Zhila +2
This overview paper describes the first shared task on fake news detection in Urdu language. The task was posed as a binary classification task, in which the goal is to differentia…
An End-to-End Set Transformer for User-Level Classification of Depression and Gambling Disorder
Ana-Maria Bucur, Adrian Cosma, Liviu P. Dinu +1
This work proposes a transformer architecture for user-level classification of gambling addiction and depression that is trainable end-to-end. As opposed to other methods that oper…
Unsupervised Ranking and Aggregation of Label Descriptions for Zero-Shot Classifiers
Angelo Basile, Marc Franco-Salvador, Paolo Rosso
Zero-shot text classifiers based on label descriptions embed an input text and a set of labels into the same space: measures such as cosine similarity can then be used to select th…
Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models
Ramit Sawhney, Shivam Agarwal, Vivek Mittal +3
The rapid spread of information over social media influences quantitative trading and investments. The growing popularity of speculative trading of highly volatile assets such as c…
Detecting early signs of depression in the conversational domain: The role of transfer learning in low-resource scenarios
Petr Lorenc, Ana-Sabina Uban, Paolo Rosso +1
The high prevalence of depression in society has given rise to the need for new digital tools to assist in its early detection. To this end, existing research has mainly focused on…