2024
COLING
COLING 2024
A new Resource and Baselines for Opinion Role Labelling in German Parliamentary Debates
Abstract
AbstractDetecting opinions, their holders and targets in parliamentary debates provides an interesting layer of analysis, for example, to identify frequent targets of opinions for specific topics, actors or parties. In the paper, we present GePaDe-ORL, a new dataset for German parliamentary debates where subjective expressions, their opinion holders and targets have been annotated. We describe the annotation process and report baselines for predicting those annotations in our new dataset.
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Keyword Pioneer
— german parliamentary debate
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Deep Learning, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Natural Language Processing