Language Technology Lab

GermEval 2017

17.10.2017


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:

GermEval 2017: Shared Task on Aspect-based Sentiment in Social Media Customer Feedback (Michael Wojatzki, Eugen Ruppert, Sarah Holschneider, Torsten Zesch and Chris Biemann)


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Paper accepted at NLPTEA 2017

09.10.2017


The following paper has been accepted for the 4th Workshop on NLP Techniques for Educational Applications (NLPTEA 2017), in Taipei, Taiwan:

  • Andrea Horbach, Yuning Ding and Torsten Zesch: The Influence of Spelling Error on Content Scoring Performance.

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Paper accepted in JLCL- Special Issue on NLP for Arabic 2017

05.10.2017


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.

  • Osama Hamed and Torsten Zesch: A Survey and Comparative Study of Arabic Diacritization Tools.

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