This paper describes the MARDY corpus annotation environment developed for a collaboration between political science and computational linguistics. The tool realizes the complete workflow necessary for annotating a large newspaper text collection with rich information about claims (demands) raised by politicians and other actors, including claim and actor spans, relations, and polarities. In addition to the annotation GUI, the tool supports the identification of relevant documents, text pre-processing, user management, integration of external knowledge bases, annotation comparison and merging, statistical analysis, and the incorporation of machine learning models as “pseudo-annotators”.

• Blessing, Andre, Nico Blokker, Sebastian Haunss, Jonas Kuhn, Gabriella Lapesa, and Sebastian Padó. “An Environment for Relational Annotation of Political Debates.” In Proceedings of the 57th Conference of the Association for Computational Linguistics: System Demonstrations, 105–110. Florence, Italy: Association for Computational Linguistics, 2019. https://www.aclweb.org/anthology/P19-3018.