Topics to Avoid: Demoting Latent Confounds in Text Classification

1 September 2019

Papers citing "Topics to Avoid: Demoting Latent Confounds in Text Classification"

8 / 8 papers shown

Title
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 129 95 0 06 Oct 2022
Handling Bias in Toxic Speech Detection: A Survey Tanmay Garg Sarah Masud Tharun Suresh Tanmoy Chakraborty 17 91 0 26 Jan 2022
Dataset Geography: Mapping Language Data to Language Users Fahim Faisal Yinkai Wang Antonios Anastasopoulos 69 23 0 07 Dec 2021
PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English Michael Kranzlein Emma Manning Siyao Peng Shira Wein Aryaman Arora Bradford Salen Nathan Schneider 13 8 0 23 Oct 2021
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates Xiaochuang Han Yulia Tsvetkov TDI 31 30 0 07 Oct 2021
Demoting Racial Bias in Hate Speech Detection Mengzhou Xia Anjalie Field Yulia Tsvetkov 35 116 0 25 May 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions Xiaochuang Han Byron C. Wallace Yulia Tsvetkov MILM FAtt AAML TDI 23 164 0 14 May 2020
Unsupervised Discovery of Implicit Gender Bias Anjalie Field Yulia Tsvetkov 11 49 0 17 Apr 2020