Summary of the paper

Title Findings from the Hackathon on Understanding Euroscepticism Through the Lens of Textual Data
Authors Federico Nanni, Goran Glavaš, Simone Paolo Ponzetto, Sara Tonelli, Nicolò Conti, Ahmet Aker, Alessio Palmero Aprosio, Arnim Bleier, Benedetta Carlotti, Theresa Gessler, Tim Henrichsen, Dirk Hovy, Christian Kahmann, Mladen Karan, Akitaka Matsuo, Stefano Menini, Dong Nguyen, Andreas Niekler, Lisa Posch, Federico Vegetti, Zeerak Waseem, Tanya Whyte and Nikoleta Yordanova
Abstract We present an overview and the results of a shared-task hackathon that took place as part of a research seminar bringing together a variety of experts and young researchers from the fields of political science, natural language processing and computational social science. The task looked at ways to develop novel methods for political text scaling to better quantify political party positions on European integration and Euroscepticism from the transcript of speeches of three legislations of the European Parliament.
Full paper Findings from the Hackathon on Understanding Euroscepticism Through the Lens of Textual Data
Bibtex @InProceedings{NANNI18.7,
  author = {Federico Nanni ,Goran Glavaš ,Simone Paolo Ponzetto ,Sara Tonelli ,Nicolò Conti ,Ahmet Aker ,Alessio Palmero Aprosio ,Arnim Bleier ,Benedetta Carlotti ,Theresa Gessler ,Tim Henrichsen ,Dirk Hovy ,Christian Kahmann ,Mladen Karan ,Akitaka Matsuo ,Stefano Menini ,Dong Nguyen ,Andreas Niekler ,Lisa Posch ,Federico Vegetti ,Zeerak Waseem ,Tanya Whyte and Nikoleta Yordanova},
  title = {Findings from the Hackathon on Understanding Euroscepticism Through the Lens of Textual Data},
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  month = {may},
  date = {7-12},
  location = {Miyazaki, Japan},
  editor = {Darja Fišer and Maria Eskevich and Franciska de Jong},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {979-10-95546-02-3},
  language = {english}
  }
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