AUEB Natural Language Processing Group

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AUEB's Natural Language Processing Group develops algorithms, models, and systems that allow computers to process and generate natural language texts.

The group's current research interests include:
  • question answering systems for databases, ontologies, document collections, and the Web,
  • natural language generation from databases and ontologies, especially Semantic Web ontologies,
  • text classification, including filtering spam and abusive content,
  • information extraction and opinion mining, including sentiment analysis,
  • natural language processing tools for Greek, for example part-of-speech taggers and named-entity recognizers,
  • machine learning in natural language processing, especially deep learning.

The group is part of the Information Processing Laboratory of the Department of Informatics of the Athens University of Economics and Business.

The group co-organized the 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2009), the Large Scale Hierarchical Text Classification challenges (LSHTC3 was the ECML/PKDD 2012 Discovery Challenge), the BioASQ challenges, and the SemEval task on Aspect-Based Sentiment Analysis.

Suggested topics for BSc and MSc projects (in Greek)