Leveraging Bias in Pre-Trained Word Embeddings for Unsupervised Microaggression Detection

By Tolúlopé Ògúnrèmí, Nazanin Sabri, Valerio Basile, Tommaso Caselli. 2021

6 citations recorded by the source corpus.

Subfields: Natural Language Processing, Safety, Robustness & Interpretability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Yulia Tsvetkov
2. Sachin Kumar
3. Vidhisha Balachandran
4. Antonios Anastasopoulos
5. Lucille Njoo
6. Anjalie Field
7. Hinrich Schütze
8. Mohit Bansal

In Safety, Robustness & Interpretability

1. Sachin Kumar
2. Vidhisha Balachandran
3. Lucille Njoo
4. Antonios Anastasopoulos
5. Yulia Tsvetkov

Citations in the corpus

• Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey (2022, methodology): “Hence, unsupervised or distantly supervised approaches have been adopted to detect it (Korzeniowski et al., 2019; Field and Tsvetkov, 2020a; Ògúnremí et al., 2021).”