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Papers
A Three-Tier LLM Framework for Forecasting Student Engagement from Qualitative Longitudinal Data
CoNLL 2025
From Noise to Nuance: Enriching Subjective Data Annotation through Qualitative Analysis
EMNLP 2025
HICode: Hierarchical Inductive Coding with LLMs
EMNLP 2025
Non-directive corpus annotation to reveal individual perspectives with underspecified guidelines: the case of mental workload
EMNLP 2025
Threefold model for AI Readiness: A Case Study with Finnish Healthcare SMEs
NAACL 2025
Word Clouds as Common Voices: LLM-Assisted Visualization of Participant-Weighted Themes in Qualitative Interviews
EMNLP 2025
A Taxonomy of Challenges to Curating Fair Datasets
NeurIPS 2024
Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection
EMNLP 2024
Extending the Discourse Analysis Tool Suite with Whiteboards for Visual Qualitative Analysis
COLING 2024
From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP
EMNLP 2024
The Zeno’s Paradox of ‘Low-Resource’ Languages
EMNLP 2024
We Don’t Talk About That: Case Studies on Intersectional Analysis of Social Bias in Large Language Models
ACL 2024
Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews
EMNLP 2023
LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis
EMNLP 2023
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices
EMNLP 2023
SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts
ACL 2023
A Survey of Computational Framing Analysis Approaches
EMNLP 2022
Demonstrating the Reliability of Self-Annotated Emotion Data
NAACL 2021
The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI
IJCAI 2018