Political claim identification and categorization in a multilingual
  setting: First experiments
Urs Zaberer Sebastian Padó Gabriella Lapesa
The identification and classification of political claims is an important
step in the analysis of political newspaper reports; however, resources for
this task are few and far between. This paper explores different strategies for
the cross-lingual projection of political claims analysis. We conduct
experiments on a German dataset, DebateNet2.0, covering the policy debate
sparked by the 2015 refugee crisis. Our evaluation involves two tasks (claim
identification and categorization), three languages (German, English, and
French) and two methods (machine translation -- the best method in our
experiments -- and multilingual embeddings).