I'm Sorry to Hear That

By N. Chapman. 2014

Subfields: Dialogue & Conversational AI

How researchers see this paper

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

1. Saghar Hosseini
2. Ahmed Hassan Awadallah
3. Hamid Palangi

Citations in the corpus

• An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models (2023, background): “…the manifestation of societal biases in language models and proposed metrics and datasets to quantify them based on sentiment (Kurita et al., 2019), regard (Sheng et al., 2019), stereotypes (Zhao et al., 2019; Nadeem et al., 2021), style (Smith et al., 2022), or morality (Schramowski et al., 2022).”