no code implementations • COLING 2022 • Jamell Dacon, Haochen Liu, Jiliang Tang
In this work, we conduct a pioneering study of the English variety use of African American English (AAE) in NLI task.
no code implementations • 18 Sep 2023 • Jamell Dacon
In particular, we consider these impacts from a multi-disciplinary perspective: computer science, sociology, environmental science, and so on to discuss its inter-connected societal risks and inability to simultaneously satisfy aspects of well-being.
1 code implementation • 15 Jun 2022 • Jamell Dacon, Harry Shomer, Shaylynn Crum-Dacon, Jiliang Tang
Online discussions, panels, talk page edits, etc., often contain harmful conversational content i. e., hate speech, death threats and offensive language, especially towards certain demographic groups.
no code implementations • NAACL (HCINLP) 2022 • Jamell Dacon
Currently, natural language processing (NLP) models proliferate language discrimination leading to potentially harmful societal impacts as a result of biased outcomes.
no code implementations • 20 Sep 2021 • Jamell Dacon, Jiliang Tang
Consequently, our findings highlight that social activism done by Black Lives Matter activists does not diverge from the social issues and topics involving police-brutality related and racially-motivated killings of Black individuals due to the shape of its topical graph that topics and conversations encircling the largest component directly relate to the topic of Black Lives Matter.
1 code implementation • COLING 2020 • Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang
In particular, we construct a benchmark dataset and propose quantitative measures to understand fairness in dialogue models.