25 citations · 42 across the 10 of their papers we have counts for
12 papers · 1 filter
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…
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…
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…
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…
Exploring the Value of Personalized Word Embeddings
Charles Welch, Jonathan K. Kummerfeld, Verónica Pérez-Rosas +1
In this paper, we introduce personalized word embeddings, and examine their value for language modeling. We compare the performance of our proposed prediction model when using pers…
Compositional Demographic Word Embeddings
Charles Welch, Jonathan K. Kummerfeld, Verónica Pérez-Rosas +1
Word embeddings are usually derived from corpora containing text from many individuals, thus leading to general purpose representations rather than individually personalized repres…
Improving Low Compute Language Modeling with In-Domain Embedding Initialisation
Charles Welch, Rada Mihalcea, Jonathan K. Kummerfeld
Many NLP applications, such as biomedical data and technical support, have 10-100 million tokens of in-domain data and limited computational resources for learning from it. How sho…
Look Who's Talking: Inferring Speaker Attributes from Personal Longitudinal Dialog
Charles Welch, Verónica Pérez-Rosas, Jonathan K. Kummerfeld +1
We examine a large dialog corpus obtained from the conversation history of a single individual with 104 conversation partners. The corpus consists of half a million instant message…