2 citations · 2 across the 6 of their papers we have counts for
8 papers · 1 filter
Examining the Utility of Self-disclosure Types for Modeling Annotators of Social Norms
Kieran Henderson, Kian Omoomi, Vasudha Varadarajan +2
Recent work has explored the use of personal information in the form of persona sentences or self-disclosures to improve modeling of individual characteristics and prediction of an…
ISCA: A Framework for Interview-Style Conversational Agents
Charles Welch, Allison Lahnala, Vasudha Varadarajan +4
We present a low-compute non-generative system for implementing interview-style conversational agents which can be used to facilitate qualitative data collection through controlled…
The Muddy Waters of Modeling Empathy in Language: The Practical Impacts of Theoretical Constructs
Allison Lahnala, Charles Welch, David Jurgens +1
Conceptual operationalizations of empathy in NLP are varied, with some having specific behaviors and properties, while others are more abstract. How these variations relate to one…
EmPO: Emotion Grounding for Empathetic Response Generation through Preference Optimization
Ondrej Sotolar, Vojtech Formanek, Alok Debnath +3
Empathetic response generation is a desirable aspect of conversational agents, crucial for facilitating engaging and emotionally intelligent multi-turn conversations between humans…
Challenges of GPT-3-based Conversational Agents for Healthcare
Fabian Lechner, Allison Lahnala, Charles Welch +1
The potential to provide patients with faster information access while allowing medical specialists to concentrate on critical tasks makes medical domain dialog agents appealing. H…
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…