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, especially for biomedical document collections,
  • natural language generation from structured data, and more recently from medical images,
  • text classification, including filtering abusive content,
  • information extraction and opinion mining, including legal text analytics and sentiment analysis,
  • natural language processing tools for Greek,
  • machine learning in natural language processing, especially deep learning,
  • natural language processing in digital curation.

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 1st Athens Natural Language Processing Summer School (AčNLP 2019). It also 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 (2014, 2015, 2016). The group received a BioASQ award in 2018 for ranking first in three out of five document retrieval test batches and all five snippet retrieval test batches. We received another BioASQ award in 2019 for ranking first in the four document and snippet retrieval batches we participated in. We also received a BioASQ award in 2020 for ranking in the top 2 positions in 4 out of 5 document retrieval test batches, and for ranking 1st in 4 out of 5 snippet retrieval test batches. Our systems were also ranked at positions 1, 2, 3 and 5 among approximately 60 systems in the ImageCLEFmed Caption 2019 task, and at positions 1, 2, 6 among 49 systems in ImageCLEFmed Caption 2020 (see also this AUEB announcement).

Suggested topics for BSc and MSc projects (in Greek)