Brendan Kennedy

According to our database, Brendan Kennedy authored at least 18 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Social-Group-Agnostic Bias Mitigation via the Stereotype Content Model.

Ali Omrani, Alireza Salkhordeh Ziabari, Charles Yu, Preni Golazizian, Brendan Kennedy, Mohammad Atari, Heng Ji, Morteza Dehghani

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Introducing the Gab Hate Corpus: defining and applying hate-based rhetoric to social media posts at scale.

Brendan Kennedy, Mohammad Atari, Aida Mostafazadeh Davani, Leigh Yeh, Ali Omrani, Yehsong Kim, Kris Coombs, Shreya Havaldar, Gwenyth Portillo-Wightman, Elaine Gonzalez, Joe Hoover, Aida Azatian, Alyzeh Hussain, Austin Lara, Gabriel Cardenas, Adam Omary, Christina Park, Xin Wang, Clarisa Wijaya, Yong Zhang, Beth Meyerowitz, Morteza Dehghani

Lang. Resour. Evaluation, 2022

Identifying geopolitical event precursors using attention-based LSTMs.

K. S. M. Tozammel Hossain, Hrayr Harutyunyan, Yue Ning, Brendan Kennedy, Naren Ramakrishnan, Aram Galstyan

Frontiers Artif. Intell., 2022

Social-Group-Agnostic Word Embedding Debiasing via the Stereotype Content Model.

Ali Omrani, Brendan Kennedy, Mohammad Atari, Morteza Dehghani

CoRR, 2022

The Moral Foundations Reddit Corpus.

Jackson Trager, Alireza S. Ziabari, Aida Mostafazadeh Davani, Preni Golazizian, Farzan Karimi-Malekabadi, Ali Omrani, Zhihe Li, Brendan Kennedy, Nils Karl Reimer, Melissa Reyes, Kelsey Cheng, Mellow Wei, Christina Merrifield, Arta Khosravi, Evans Alvarez, Morteza Dehghani

CoRR, 2022

2021

Hate Speech Classifiers Learn Human-Like Social Stereotypes.

Aida Mostafazadeh Davani, Mohammad Atari, Brendan Kennedy, Morteza Dehghani

CoRR, 2021

Improving Counterfactual Generation for Fair Hate Speech Detection.

Aida Mostafazadeh Davani, Ali Omrani, Brendan Kennedy, Mohammad Atari, Xiang Ren, Morteza Dehghani

CoRR, 2021

On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning.

Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Efficiently Mitigating Classification Bias via Transfer Learning.

Xisen Jin, Francesco Barbieri, Aida Mostafazadeh Davani, Brendan Kennedy, Leonardo Neves, Xiang Ren

CoRR, 2020

Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals.

Aida Mostafazadeh Davani, Ali Omrani, Brendan Kennedy, Mohammad Atari, Xiang Ren, Morteza Dehghani

CoRR, 2020

Hatred is in the Eye of the Annotator: Hate Speech Classifiers Learn Human-Like Social Stereotypes.

Aida Mostafazadeh Davani, Mohammad Atari, Brendan Kennedy, Shreya Havaldar, Morteza Dehghani

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Contextualizing Hate Speech Classifiers with Post-hoc Explanation.

Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, Morteza Dehghani, Xiang Ren

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Incorporating Demographic Embeddings Into Language Understanding.

Justin Garten, Brendan Kennedy, Joe Hoover, Kenji Sagae, Morteza Dehghani

Cogn. Sci., 2019

Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes.

Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari, Brendan Kennedy, Gwenyth Portillo-Wightman, Elaine Gonzalez, Natalie Delong, Rhea Bhatia, Arineh Mirinjian, Xiang Ren, Morteza Dehghani

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Subtle differences in language experience moderate performance on language-based cognitive tests.

Maury Courtland, Aida Mostafazadeh Davani, Melissa Reyes, Leigh Yeh, Jun Yen Leung, Brendan Kennedy, Morteza Dehghani, Jason D. Zevin

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Language in Context: Incorporating Demographic Embeddings into Language Understanding.

Justin Garten, Brendan Kennedy, Joe Hoover, Kenji Sagae, Morteza Dehghani

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2016

Investigating the effects of majority voting on CAD systems: a LIDC case study.

Miguel Carrazza, Brendan Kennedy, Alexander Rasin, Jacob Furst, Daniela Raicu

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2015

Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium.

Brendan Kennedy, Miguel Carrazza, Alex Rasin, Jacob Furst, Daniela Stan Raicu

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015