Chris Biemann
Scholar

Chris Biemann

Google Scholar ID: BdwP-3QAAAAJ
Professor for Language Technology, University of Hamburg
language technologynatural language processingcomputational linguisticsinformation retrievalcognitive computing
Citations & Impact
All-time
Citations
8,060
 
H-index
42
 
i10-index
133
 
Publications
20
 
Co-authors
185
list available
Contact
No contact links provided.
Resume (English only)
Research Experience
  • Affiliated with the Language Technology Group (LT), Department of Informatics, University of Hamburg
  • Researches all aspects of natural language processing technologies and applies them in practice
  • Focuses on unsupervised, large-scale methods for natural language semantics
  • Studies statistical semantics by computing semantic similarities and relations between lexical items from large text corpora, applied in semantic indexing, paraphrasing, and lexical chain identification
  • Emphasizes unsupervised and knowledge-free methods such as lexical graph clustering, topic models, and neural representations to discover structures in large text collections for use in supervised machine learning