Papers with pretrained encoder-decoder language model

1 papers
Argument Mining as a Text-to-Text Generation Task (2024.eacl-long)

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Challenge: Argument Mining (AM) aims to uncover the argumentative structures within a text.
Approach: They propose a method that generates argumentatively annotated text using a pretrained encoder-decoder language model and a pre-trained decoder.
Outcome: The proposed method achieves state-of-the-art performance on three types of benchmark datasets.

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