@InProceedings{declercq-EtAl:2017:WASSA2017,
  author    = {De Clercq, Orphee  and  Lefever, Els  and  Jacobs, Gilles  and  Carpels, Tijl  and  Hoste, Veronique},
  title     = {Towards an integrated pipeline for aspect-based sentiment analysis in various domains},
  booktitle = {Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {136--142},
  abstract  = {This paper presents an integrated ABSA pipeline for Dutch that has been
	developed and tested on qualitative user feedback coming from three domains:
	retail, banking and human resources. The two latter domains provide
	service-oriented data, which has not been investigated before in ABSA. By
	performing in-domain and cross-domain experiments the validity of our approach
	was investigated. We show promising results for the three ABSA subtasks, aspect
	term extraction, aspect category classification and aspect polarity
	classification.},
  url       = {http://www.aclweb.org/anthology/W17-5218}
}