Recognizing Reputation Defence Strategies in Critical Political Exchanges
Nona Naderi, Graeme Hirst · 2017
We propose a new task of automatically detecting reputation defence strategies in the field of computational argumentation.We cast the problem as relation classification, where given a pair of reputation threat and reputation defence, we determine the reputation defence strategy.We annotate a dataset of parliamentary questions and answers with reputation defence strategies.We then propose a model based on supervised learning to address the detection of these strategies, and report promising experimental results.