Papers by Leo Laugier

2 papers
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events (2023.emnlp-main)

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Challenge: Existing models for reasoning about events in narratives do not understand the complexity of the causal relationships of events in the narrative.
Approach: They propose a Causal Reasoning Assessment Benchmark to evaluate causal understanding of events in narratives.
Outcome: The proposed model performs worse when models are derived from complex causal structures than simple linear causal chains.
From the Detection of Toxic Spans in Online Discussions to the Analysis of Toxic-to-Civil Transfer (2022.acl-long)

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Challenge: a dataset of English posts with annotations of toxic spans is released . sequence labeling models perform best, but rationale extraction methods are promising .
Approach: They propose a dataset for toxic spans detection that includes an annotation of toxic posts . they propose to add generic rationale extraction mechanisms to the model to obtain toxic span information .
Outcome: The proposed framework is based on a dataset of English posts with toxic span annotations . it shows that sequence labeling models perform best, but that rationale extraction methods are promising .

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