Argumentation Mining in Parliamentary Discourse
Nona Naderi, Graeme Hirst · Lecture notes in computer science · 2016
We examine whether using frame choices in forum statements can help us identify framing strategies in parliamentary discourse. In this analysis, we show how features based on embedding representations can improve the discovery of various frames in argumentative political speech. Given the complex nature of the parliamentary discourse, the initial results that are presented here are promising. We further present a manually annotated corpus for frame recognition in parliamentary discourse. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.