Papers by Liesbeth Allein

2 papers
Implicit Temporal Reasoning for Evidence-Based Fact-Checking (2023.findings-eacl)

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Challenge: Temporal reasoning is implicit since models learn from data how to leverage temporal information.
Approach: They propose to ground claims and associated evidence on shared timelines using publication dates and time expressions extracted from their text.
Outcome: The proposed model outperforms existing models that explicitly model temporal relations between evidence and the document by up to 9% Micro F1 and 15% Macro F1 on the MultiFC dataset.
ClimateCause: Complex and Implicit Causal Structures in Climate Reports (2026.findings-acl)

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Challenge: Existing datasets for causal discovery from text lack granularity and abstraction for domains characterized by such complex causality.
Approach: They propose a manually expert-annotated dataset of higher-order causal structures from science-for-policy climate reports.
Outcome: The proposed dataset is highly readable and can be used to quantify readability.

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