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cs.CL2025
Argument Summarization and its Evaluation in the Era of Large Language Models
Moritz Altemeyer, Steffen Eger, Johannes Daxenberger +4
Large Language Models (LLMs) have revolutionized various Natural Language Generation (NLG) tasks, including Argument Summarization (ArgSum), a key subfield of Argument Mining. This…
cs.CL2024
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets
Benjamin Schiller, Johannes Daxenberger, Andreas Waldis +1
The task of Argument Mining, that is extracting and classifying argument components for a specific topic from large document sources, is an inherently difficult task for machine le…