@InProceedings{do-EtAl:2018:C18-2,
  author    = {Do, Quynh Ngoc Thi  and  Leeuwenberg, Artuur  and  Heyman, Geert  and  Moens, Marie-Francine},
  title     = {A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico},
  publisher = {Association for Computational Linguistics},
  pages     = {161--165},
  abstract  = {This paper presents a flexible and open source framework for deep semantic role labeling. We aim at facilitating easy exploration of model structures for multiple languages with different characteristics. It provides flexibility in its model construction in terms of word representation, sequence representation, output modeling, and inference styles and comes with clear output visualization. The framework is available under the Apache 2.0 license.},
  url       = {http://www.aclweb.org/anthology/C18-2035}
}