Generating Adversarial Examples for Topic-Dependent Argument Classification

Tobias Mayer
Tobias Mayer
Santiago Marro
Santiago Marro

COMMA, pp. 33-44, 2020.

Cited by: 0|Views1
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Abstract:

In the last years, several empirical approaches have been proposed to tackle argument mining tasks, e.g., argument classification, relation prediction, argument synthesis. These approaches rely more and more on language models (e.g., BERT) to boost their performance. However, these language models require a lot of training data, and size ...More

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