EMNLP 2018 accepts ten UKP papers
2018/08/14 by Yevgeniy Puzikov

Ten papers from UKP co-authors have been accepted for publication at , the 2018 Conference on Empirical Methods in Natural Language Processing. The conference will take place in Brussels, Belgium, from October 31st through November 4th, 2018. EMNLP 2018
Long papers:
- A Neural Local Coherence Model for Text Quality Assessment
Mohsen Mesgar and Michael Strube - APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning
Yang Gao, Christian M. Meyer and Iryna Gurevych - Cross-topic Argument Mining from Heterogeneous Sources
Christian Stab, Tristan Miller, Benjamin Schiller, Pranav Rai and Iryna Gurevych - Data Augmentation via Dependency Tree Morphing for Low-Resource Languages
Şahin, Gözde Gül and Steedman, Mark - Investigating Capsule Networks with Dynamic Routing for Text Classification
Wei Zhao, Jianbo Ye, Min Yang, Zeyang Lei, Suofei Zhang and Zhou Zhao - Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks
Steffen Eger, Paul Youssef and Iryna Gurevych - Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers
Moosavi, Nafise Sadat and Strube, Michael - Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations
Erik-Lân Do Dinh, Hannah Wieland and Iryna Gurevych
System Demonstration papers:
