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Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models


Jun 08, 2022
Esma Balkir, Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser

* TrustNLP Workshop at NAACL 2022 

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Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection


May 06, 2022
Esma Balkir, Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko

* NAACL 2022 

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Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors


Apr 05, 2022
Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko

* accepted to be published at ACL2022 

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Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model


Jun 04, 2021
Kathleen C. Fraser, Isar Nejadgholi, Svetlana Kiritchenko

* In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) 

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A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning


May 19, 2021
Rajitha Hathurusinghe, Isar Nejadgholi, Miodrag Bolic


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Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective


Dec 22, 2020
Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser


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On Cross-Dataset Generalization in Automatic Detection of Online Abuse


Nov 03, 2020
Isar Nejadgholi, Svetlana Kiritchenko

* 13 pages, 3 figures, accepted to WOAH-2020 (The 4th Workshop on Online Abuse and Harms) 

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Towards Ethics by Design in Online Abusive Content Detection


Oct 28, 2020
Svetlana Kiritchenko, Isar Nejadgholi

* 14 pages, 2 figures 

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Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience


Jun 09, 2020
Isar Nejadgholi, Kathleen C. Fraser, Berry De Bruijn

* to appear at BioNLP2020 

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