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2021 EMNLP EMNLP 2021

Key Point Matching with Transformers

Abstract

AbstractThis work aims at describing a solution for the Track 1 of the KPA 2021 shared task, analyzing different methodologies for the specific problem of key point matching. The analysis focuses on transformer based architectures, experimentally investigating the effectiveness of variants specifically tailored to the task.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Emanuele Cosenza

Topics

Deep Learning > Architectures > Transformers Natural Language Processing > Generation > Summarization Natural Language Processing > Applications > Argument Mining

Keywords

transformer architecture argument mining keypoint matching argument matching
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