no code implementations • SemEval (NAACL) 2022 • Xi Chen, Ali Zeynali, Chico Camargo, Fabian Flöck, Devin Gaffney, Przemyslaw Grabowicz, Scott Hale, David Jurgens, Mattia Samory
Thousands of new news articles appear daily in outlets in different languages.
no code implementations • EMNLP (NLP+CSS) 2020 • Bertie Vidgen, Scott Hale, Sam Staton, Tom Melham, Helen Margetts, Ohad Kammar, Marcin Szymczak
We investigate the use of machine learning classifiers for detecting online abuse in empirical research.
1 code implementation • EMNLP (ALW) 2020 • Bertie Vidgen, Austin Botelho, David Broniatowski, Ella Guest, Matthew Hall, Helen Margetts, Rebekah Tromble, Zeerak Waseem, Scott Hale
The outbreak of COVID-19 has transformed societies across the world as governments tackle the health, economic and social costs of the pandemic.
no code implementations • IJCNLP 2019 • Philippa Shoemark, Farhana Ferdousi Liza, Dong Nguyen, Scott Hale, Barbara McGillivray
Word embeddings are increasingly used for the automatic detection of semantic change; yet, a robust evaluation and systematic comparison of the choices involved has been lacking.
1 code implementation • WS 2019 • Bertie Vidgen, Alex Harris, Dong Nguyen, Rebekah Tromble, Scott Hale, Helen Margetts
Online abusive content detection is an inherently difficult task.