Welcome to the Language Technology Lab
The language technology lab at the University of Duisburg-Essen is a part of the division of Computer Science and Applied Cognitive Sciences at the Faculty of Engineering.
We conduct research in the field of language technology and natural language processing.
We strongly believe that engineering is a key part of research in this field and that often a new insight is only to be found when re-implementing an approach.
We are especially interested in analyzing and processing non-standard, error-prone language as found in social media and learner language.
Consequently, our research can be divided into three main areas:
- Short answer scoring
- Essay scoring
- Vocabulary acquisition
- Spelling and grammar correction
- Exercise generation
- Exercise difficulty prediction
Social Media Analysis
- Sentiment and stance detection
- Argument mining
- Detection of hate speech and abusive languag
- Semantic meaning relations
- Robustness of tools
- Domain adaption
- Large-scale semantic processing
We are committed to reproducible and replicable research. We generally make all research software publicly available. Thus, we develop and maintain multiple open-source software projects.
Welcome Ronja Laarmann-Quante and Piush Aggarwal!
In August, two new members joined the team. Ronja Laarmann-Quante is about to obtain her phd from Ruhr-Uni Bochum and joins the educational NLP forces at the LTL, working among other on spelling errors in learner writings. Piush Aggarwal finishes his master thesis at the lab and starts as a phd student working on deep learning models. Welcome Ronja and Piush!
Osama Hamed defends his dissertation
On June 27th, Osama Hamed has successfully defended his dissertation titled "Automatic Generation of Lexical Recognition Tests using Natural Language Processing". Congratulations, Osama!
Paper accepted at LAW XIII 2019
The following paper has been accepted at the LAW XIII 2019 workshop in Florence, Italy, which is colocated with ACL 2019:
Darina Gold, Venelin Kovatchev, and Torsten Zesch: Annotating and analyzing the interactions between meaning relations.
Paper accepted for 'Frontiers in Education'
The following paper has been accepted for the Journal "Frontiers in Education":
Andrea Horbach, Torsten Zesch: The Influence of Variance in Learner Answers on Automatic Content Scoring*, Frontiers in Education Jg. 4 (2019) S. 28