NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but
Teaching the Distinction Helps

NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps

2 April 2024

Kristina Gligorić

Esin Durmus

Dan Jurafsky

Papers citing "NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps"

8 / 8 papers shown

Title
FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Jabez Magomere Elena Kochkina Samuel Mensah Simerjot Kaur Charese Smiley 25 0 0 22 Apr 2025
Revealing Hidden Mechanisms of Cross-Country Content Moderation with Natural Language Processing Neemesh Yadav Jiarui Liu Francesco Ortu Roya Ensafi Zhijing Jin Rada Mihalcea 33 0 0 07 Mar 2025
When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits Jabez Magomere Emanuele La Malfa Manuel Tonneau Ashkan Kazemi Scott A. Hale KELM 72 0 0 05 Mar 2025
HateDay: Insights from a Global Hate Speech Dataset Representative of a Day on Twitter Manuel Tonneau Diyi Liu Niyati Malhotra Scott A. Hale Samuel Fraiberger Victor Orozco-Olvera Paul Röttger 63 0 0 23 Nov 2024
When in Doubt, Cascade: Towards Building Efficient and Capable Guardrails Manish Nagireddy Inkit Padhi Soumya Ghosh P. Sattigeri 30 1 0 08 Jul 2024
string2string: A Modern Python Library for String-to-String Algorithms Mirac Suzgun Stuart M. Shieber Dan Jurafsky 31 7 0 27 Apr 2023
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset Peter Henderson M. Krass Lucia Zheng Neel Guha Christopher D. Manning Dan Jurafsky Daniel E. Ho AILaw ELM 129 94 0 01 Jul 2022
Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework Matan Halevy Camille Harris A. Bruckman Diyi Yang A. Howard 34 35 0 27 Sep 2021