11 citations · 26 across the 45 of their papers we have counts for
10 papers · 1 filter
A Critical Reflection and Forward Perspective on Empathy and Natural Language Processing
Allison Lahnala, Charles Welch, David Jurgens +1
We review the state of research on empathy in natural language processing and identify the following issues: (1) empathy definitions are absent or abstract, which (2) leads to low…
Nearest Neighbor Language Models for Stylistic Controllable Generation
Severino Trotta, Lucie Flek, Charles Welch
Recent language modeling performance has been greatly improved by the use of external memory. This memory encodes the context so that similar contexts can be recalled during decodi…
Unifying Data Perspectivism and Personalization: An Application to Social Norms
Joan Plepi, Béla Neuendorf, Lucie Flek +1
Instead of using a single ground truth for language processing tasks, several recent studies have examined how to represent and predict the labels of the set of annotators. However…
How Much User Context Do We Need? Privacy by Design in Mental Health NLP Application
Ramit Sawhney, Atula Tejaswi Neerkaje, Ivan Habernal +1
Clinical NLP tasks such as mental health assessment from text, must take social constraints into account - the performance maximization must be constrained by the utmost importance…
Understanding Interpersonal Conflict Types and their Impact on Perception Classification
Charles Welch, Joan Plepi, Béla Neuendorf +1
Studies on interpersonal conflict have a long history and contain many suggestions for conflict typology. We use this as the basis of a novel annotation scheme and release a new da…
Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathy
Allison Lahnala, Charles Welch, Béla Neuendorf +1
Large pre-trained neural language models have supported the effectiveness of many NLP tasks, yet are still prone to generating toxic language hindering the safety of their use. Usi…
FACTOID: A New Dataset for Identifying Misinformation Spreaders and Political Bias
Flora Sakketou, Joan Plepi, Riccardo Cervero +3
Proactively identifying misinformation spreaders is an important step towards mitigating the impact of fake news on our society. In this paper, we introduce a new contemporary Redd…
Investigating User Radicalization: A Novel Dataset for Identifying Fine-Grained Temporal Shifts in Opinion
Flora Sakketou, Allison Lahnala, Liane Vogel +1
There is an increasing need for the ability to model fine-grained opinion shifts of social media users, as concerns about the potential polarizing social effects increase. However,…
Refining Diagnosis Paths for Medical Diagnosis based on an Augmented Knowledge Graph
Niclas Heilig, Jan Kirchhoff, Florian Stumpe +3
Medical diagnosis is the process of making a prediction of the disease a patient is likely to have, given a set of symptoms and observations. This requires extensive expert knowled…
The Impact of Differential Privacy on Group Disparity Mitigation
Victor Petrén Bach Hansen, Atula Tejaswi Neerkaje, Ramit Sawhney +2
The performance cost of differential privacy has, for some applications, been shown to be higher for minority groups; fairness, conversely, has been shown to disproportionally comp…