Welcome to the Language Technology Lab

Covid-19 Info:
Please refer to our teaching page for more information about the teaching situation during the winter semester.

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:

Educational NLP

  • 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 language
  • Semantic meaning relations

NLP Engineering

  • 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.

Paper accepted at ICDAR2021

The following paper has been accepted at ICDAR2021:
Christian Gold, Dario van den Boom and Torsten Zesch: Personalizing Handwriting Recognition Systems with Limited User-Specific Samples.

Lab won "Code Against Hate-2" hackathon

Lab member Piush Aggarwal and student Michelle Espranita Liman participated and won 3 days Code Against Hate-2 hackathon where they produce an interpretable hate-meme detection based curation and annotation tool called bravespace for content moderators.

Welcome Marie Bexte!

Marie Bexte joined us in March as a new PhD Student within the interdisciplinary Research Training Group WisPerMed. She will pursue her PhD within the subproject "Extraction of argumentation structure". Welcome, Marie!

Paper accepted at BEA2021

The following paper has been accepted at BEA2021:
Christian Haring, René Lehmann, Andrea Horbach and Torsten Zesch: C-Test Collector: A Proficiency Testing Application to Collect Training Data for C-Tests.