5 citations · 7 across the 8 of their papers we have counts for
8 papers
GASTON: Graph-Aware Social Transformer for Online Networks
Olha Wloch, Liam Hebert, Robin Cohen +1
Online communities have become essential places for socialization and support, yet they also possess toxicity, echo chambers, and misinformation. Detecting this harmful content is…
Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media
Liam Hebert, Gaurav Sahu, Yuxuan Guo +3
We present the Multi-Modal Discussion Transformer (mDT), a novel methodfor detecting hate speech in online social networks such as Reddit discussions. In contrast to traditional co…
Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context
Liam Hebert, Lukasz Golab, Robin Cohen
We propose a system to predict harmful discussions on social media platforms. Our solution uses contextual deep language models and proposes the novel idea of integrating state-of-…
Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content
Liam Hebert, Hong Yi Chen, Robin Cohen +1
Our work advances an approach for predicting hate speech in social media, drawing out the critical need to consider the discussions that follow a post to successfully detect when h…
FedFormer: Contextual Federation with Attention in Reinforcement Learning
Liam Hebert, Lukasz Golab, Pascal Poupart +1
A core issue in multi-agent federated reinforcement learning is defining how to aggregate insights from multiple agents. This is commonly done by taking the average of each partici…
GRS: Combining Generation and Revision in Unsupervised Sentence Simplification
Mohammad Dehghan, Dhruv Kumar, Lukasz Golab
We propose GRS: an unsupervised approach to sentence simplification that combines text generation and text revision. We start with an iterative framework in which an input sentence…
Iterative Edit-Based Unsupervised Sentence Simplification
Dhruv Kumar, Lili Mou, Lukasz Golab +1
We present a novel iterative, edit-based approach to unsupervised sentence simplification. Our model is guided by a scoring function involving fluency, simplicity, and meaning pres…
Consentio: Managing Consent to Data Access using Permissioned Blockchains
Rishav Raj Agarwal, Dhruv Kumar, Lukasz Golab +1
The increasing amount of personal data is raising serious issues in the context of privacy, security, and data ownership. Entities whose data are being collected can benefit from m…