6 papers · 1 filter
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…
Funzac at CoMeDi Shared Task: Modeling Annotator Disagreement from Word-In-Context Perspectives
Olufunke O. Sarumi, Charles Welch, Lucie Flek +1
In this work, we evaluate annotator disagreement in Word-in-Context (WiC) tasks exploring the relationship between contextual meaning and disagreement as part of the CoMeDi shared…
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…
Corpus Considerations for Annotator Modeling and Scaling
Olufunke O. Sarumi, Béla Neuendorf, Joan Plepi +3
Recent trends in natural language processing research and annotation tasks affirm a paradigm shift from the traditional reliance on a single ground truth to a focus on individual p…
Style Locality for Controllable Generation with kNN Language Models
Gilles Nawezi, Lucie Flek, Charles Welch
Recent language models have been improved by the addition of external memory. Nearest neighbor language models retrieve similar contexts to assist in word prediction. The addition…