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Paul Buitelaar

6 accepted papers

2026

EvalQAG: A Framework for Automatic Complex QA Generation and a Benchmark QA Dataset for Policy Documents

AAAI 2026technical

Accelerating research in renewable energy policy is critical for addressing climate change and enabling informed decision-making. Question answering (QA) over public policy documents presents unique challenges due to their legal structure, conditional dependencies, and domain-specific vocabulary. In

Cited by 0SourcePDFScholar
2025

LUCE: A Dynamic Framework and Interactive Dashboard for Opinionated Text Analysis

COLING 2025system demonstrations

We introduce LUCE, an advanced dynamic framework with an interactive dashboard for analysing opinionated text aiming to understand people-centred communication. The framework features computational modules of text classification and extraction explicitly designed for analysing different elements of…

Cited by 0SourcePDFScholar
2024

A Hybrid Approach to Aspect Based Sentiment Analysis Using Transfer Learning

COLING 2024main

Aspect-Based Sentiment Analysis ( ABSA) aims to identify terms or multiword expressions (MWEs) on which sentiments are expressed and the sentiment polarities associated with them. The development of supervised models has been at the forefront of research in this area. However, training these models…

Cited by 9SourcePDFScholar
2024

Dataset for Identification of Homophobia and Transphobia for Telugu, Kannada, and Gujarati

COLING 2024main

Users of social media platforms are negatively affected by the proliferation of hate or abusive content. There has been a rise in homophobic and transphobic content in recent years targeting LGBT+ individuals. The increasing levels of homophobia and transphobia online can make online platforms harmf…

Cited by 2SourcePDFScholar
2024

From Laughter to Inequality: Annotated Dataset for Misogyny Detection in Tamil and Malayalam Memes

COLING 2024main

In this digital era, memes have become a prevalent online expression, humor, sarcasm, and social commentary. However, beneath their surface lies concerning issues such as the propagation of misogyny, gender-based bias, and harmful stereotypes. To overcome these issues, we introduced MDMD (Misogyny D…

2024

Inference to the Best Explanation in Large Language Models

ACL 2024long

While Large Language Models (LLMs) have found success in real-world applications, their underlying explanatory process is still poorly understood. This paper proposes IBE-Eval, a framework inspired by philosophical accounts on Inference to the Best Explanation (IBE) to advance the interpretation and…

Cited by 10SourcePDFScholar