30 citations · 51 across the 15 of their papers we have counts for
9 papers · 1 filter
Not All Subjectivity Is the Same! Defining Desiderata for the Evaluation of Subjectivity in NLP
Urja Khurana, Michiel van der Meer, Enrico Liscio +2
Subjective judgments are part of several NLP datasets and recent work is increasingly prioritizing models whose outputs reflect this diversity of perspectives. Such responses allow…
Traces of Social Competence in Large Language Models
Tom Kouwenhoven, Michiel van der Meer, Max van Duijn
The False Belief Test (FBT) has been the main method for assessing Theory of Mind (ToM) and related socio-cognitive competencies. For Large Language Models (LLMs), the reliability…
Facilitating Opinion Diversity through Hybrid NLP Approaches
Michiel van der Meer
Modern democracies face a critical issue of declining citizen participation in decision-making. Online discussion forums are an important avenue for enhancing citizen participation…
Annotator-Centric Active Learning for Subjective NLP Tasks
Michiel van der Meer, Neele Falk, Pradeep K. Murukannaiah +1
Active Learning (AL) addresses the high costs of collecting human annotations by strategically annotating the most informative samples. However, for subjective NLP tasks, incorpora…
An Empirical Analysis of Diversity in Argument Summarization
Michiel van der Meer, Piek Vossen, Catholijn M. Jonker +1
Presenting high-level arguments is a crucial task for fostering participation in online societal discussions. Current argument summarization approaches miss an important facet of t…
Do Differences in Values Influence Disagreements in Online Discussions?
Michiel van der Meer, Piek Vossen, Catholijn M. Jonker +1
Disagreements are common in online discussions. Disagreement may foster collaboration and improve the quality of a discussion under some conditions. Although there exist methods fo…
Leveraging Few-Shot Data Augmentation and Waterfall Prompting for Response Generation
Lea Krause, Selene Báez Santamaría, Michiel van der Meer +1
This paper discusses our approaches for task-oriented conversational modelling using subjective knowledge, with a particular emphasis on response generation. Our methodology was sh…
Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction
Michiel van der Meer, Myrthe Reuver, Urja Khurana +2
This paper describes our contributions to the Shared Task of the 9th Workshop on Argument Mining (2022). Our approach uses Large Language Models for the task of Argument Quality Pr…
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021
Julia Kiseleva, Ziming Li, Mohammad Aliannejadi +18
Human intelligence has the remarkable ability to quickly adapt to new tasks and environments. Starting from a very young age, humans acquire new skills and learn how to solve new t…