Papers by Tom Calamai
MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification (2024.naacl-long)
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| Challenge: | Fallacy classification is a task of broad importance due to advances in deep learning and availability of more data. |
| Approach: | They propose a new annotation scheme tailored for subjective NLP tasks and a method designed to handle subjectivity. |
| Outcome: | The proposed approach integrates existing fallacy classification datasets with new ones. |
Benchmarking the Benchmarks: Reproducing Climate-Related NLP Tasks (2025.findings-acl)
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| Challenge: | a recent study examines the use of climate-related natural language processing (NLP) for climate-relevant tasks. |
| Approach: | They perform a reproducibility study on 8 tasks and 29 datasets, testing 6 models. |
| Outcome: | The proposed models are based on 8 tasks and 29 datasets. |