25 citations · 47 across the 12 of their papers we have counts for
14 papers
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…
Unifying the Extremes: Developing a Unified Model for Detecting and Predicting Extremist Traits and Radicalization
Allison Lahnala, Vasudha Varadarajan, Lucie Flek +2
The proliferation of ideological movements into extremist factions via social media has become a global concern. While radicalization has been studied extensively within the contex…
The Illusion of Empathy: How AI Chatbots Shape Conversation Perception
Tingting Liu, Salvatore Giorgi, Ankit Aich +4
As AI chatbots increasingly incorporate empathy, understanding user-centered perceptions of chatbot empathy and its impact on conversation quality remains essential yet under-explo…
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…
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…
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…
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,…
Modeling Proficiency with Implicit User Representations
Kim Breitwieser, Allison Lahnala, Charles Welch +2
We introduce the problem of proficiency modeling: Given a user's posts on a social media platform, the task is to identify the subset of posts or topics for which the user has some…
Exploring Self-Identified Counseling Expertise in Online Support Forums
Allison Lahnala, Yuntian Zhao, Charles Welch +5
A growing number of people engage in online health forums, making it important to understand the quality of the advice they receive. In this paper, we explore the role of expertise…
Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction
Allison Lahnala, Gauri Kambhatla, Jiajun Peng +6
Natural language processing methods have been applied in a variety of music studies, drawing the connection between music and language. In this paper, we expand those approaches by…
Expressive Interviewing: A Conversational System for Coping with COVID-19
Charles Welch, Allison Lahnala, Verónica Pérez-Rosas +6
The ongoing COVID-19 pandemic has raised concerns for many regarding personal and public health implications, financial security and economic stability. Alongside many other unprec…