Patterns of Argumentation Strategies across Topics

EMNLP 2017 Khalid Al-KhatibHenning WachsmuthMatthias HagenBenno Stein

This paper presents an analysis of argumentation strategies in news editorials within and across topics. Given nearly 29,000 argumentative editorials from the New York Times, we develop two machine learning models, one for determining an editorial{'}s topic, and one for identifying evidence types in the editorial... (read more)

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