Papers by Andrea Rocci

2 papers
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.
A Multi-layer Annotated Corpus of Argumentative Text: From Argument Schemes to Discourse Relations (L18-1)

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Challenge: Recent interest in Argumentation Mining has brought to the fore the need for corpora annotated with argument information, which can be used as training data.
Approach: They propose a set of guidelines for the annotation of argument schemes and a new annotation tool for the 'inferential' argument schemes.
Outcome: The proposed corpus includes 112 argumentative microtexts and a new annotation tool.

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