Publications from our project:
  • Waterschoot, C., van den Hemel, E., & van den Bosch, A. (2022). Detecting Minority Arguments for Mutual Understanding: A Moderation Tool for the Online Climate Change Debate. In Proceedings of the 29th International Conference on Computational Linguistics, (pp. 6715–6725), Gyeongju, Republic of Korea. International Committee on Computational Linguistics. (Link)
  • Waterschoot, C., van den Bosch, A., & van den Hemel, E. (2021). Calculating Argument Diversity in Online Threads. In 3rd Conference on Language, Data and Knowledge (LDK 2021). Schloss Dagstuhl-Leibniz-Zentrum für Informatik. (Link)
Conference presentations:

Relevant publications from previous projects:
  • Kunneman, F., Wubben, S., van den Bosch, A., & Krahmer, E. (2018, November). Aspect-based summarization of pros and cons in unstructured product reviews. In COLING (pp. 2219-2229). (Link)
  • Kunneman, F., Ferreira, T. C., Krahmer, E., & Van Den Bosch, A. (2019, September). Question similarity in community question answering: A systematic exploration of preprocessing methods and models. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019) (pp. 593-601). (Link)
  • Verberne, S., Krahmer, E., Hendrickx, I., Wubben, S., & van Den Bosch, A. (2018). Creating a reference data set for the summarization of discussion forum threads. Language Resources and Evaluation52(2), 461-483. (Link)
  • Verberne, S., Krahmer, E., Wubben, S., & van den Bosch, A. (2020). Query-based summarization of discussion threads. Natural Language Engineering26(1), 3-29. (Link)
  • Wubben, S., Krahmer, E. J., van den Bosch, A. P. J., & Verberne, S. (2016). Abstractive compression of captions with attentive recurrent neural networks. (Link)
  • Wubben, S., Verberne, S., Krahmer, E. J., & van den Bosch, A. P. J. (2015). Facilitating online discussions by automatic summarization. (Link)