4 papers by CopeNLU authors are to be presented at EMNLP 2019 and co-located events, on fact checking and disinformation, as well as on multi-task and multi-lingual learning.
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen. In Proceedings of EMNLP-IJCNLP 2019.
Mapping (Dis-)Information Flow about the MH17 Plane Crash. Mareike Hartmann, Yevgeniy Golovchenko, Isabelle Augenstein. In Proceedings of the 2019 Workshop on NLP4IF: censorship, disinformation, and propaganda (NLP4IF at EMNLP-IJCNLP 2019).
X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension. Mostafa Abdou, Cezar Sas, Rahul Aralikatte, Isabelle Augenstein, Anders Søgaard. In Proceedings of the 2nd Workshop on Deep Learning for Low-Resource NLP (DeepLo at EMNLP-IJCNLP 2019).
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models. Johannes Bjerva, Katharina Kann, Isabelle Augenstein. In Proceedings of the 2nd Workshop on Deep Learning for Low-Resource NLP (DeepLo at EMNLP-IJCNLP 2019).