Papers by Elena Musi

2 papers
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.
Multitask Instruction-based Prompting for Fallacy Recognition (2022.emnlp-main)

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Challenge: Fallacies are used as seemingly valid arguments to support a position and persuade the audience about its validity.
Approach: They propose to use instruction-based prompting to recognize 28 unique fallacies across datasets . they also analyze the effect of model size and prompt choice on model performance .
Outcome: The proposed approach can recognize 28 unique fallacies across domains and genres.

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