Together with the Language Technology Group (LT) from the University Hamburg, we have organized GermEval 2017 – Shared Task on Aspect-based Sentiment in Social Media Customer Feedback. In this shared task, we utilized one of the largest datasets among all so-far conducted shared tasks on Sentiment Analysis. The shared task was framed as aspect-based sentiment analysis with four sub tasks: Relevance, Document Sentiment, Aspect-based Sentiment and Opinion Target Extraction.
The proceedings are available on the website. The task description can be found below:
The following paper has been accepted for the 4th Workshop on NLP Techniques for Educational Applications (NLPTEA 2017), in Taipei, Taiwan:
The following paper has been accepted in the Journal of Language Technology and Computational Linguistics, JLCL Volume 32 (2017), Issue 1: NLP for Arabic/Perso alphabets.