Gerard de Melo

de Melo, Gerard


Professor, Chair of Artificial Intelligence and Intelligent Systems
Hasso Plattner Institute / University of Potsdam
Potsdam, Germany


Visiting Professor at Rutgers University — New Brunswick, NJ, USA


Member of University of Potsdam Cognitive Sciences Research Focus


E-Mail/Contact Details

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Quick Links: Team | Projects/Downloads | Awards and Recognition | Publications | Talks | Professional Activities | Teaching | Misc.


Curriculum Vitae

Team and Research Foci

I am leading the Deep Data Lab, which currently consists of 7 PhD students, plus a few master's students and undergraduates. We conduct interdisciplinary research in computer science and beyond. The vision driving this research is the idea that there is now so much digital data out there that machines ought to be able to learn to guide us in almost every aspect of our daily life, e.g. by addressing our information needs and helping us make more informed decisions. This, however, requires novel algorithms that simultaneously learn and integrate information from multiple heterogeneous data sources in order to make sense of human language and more generally of the world.

More specifically, my research interests include:

  • Data Mining, Graph Algorithms, and Machine Learning for Natural Language Processing
  • Big Data Approaches to Web and Text Mining
  • Data Integration, Artificial Intelligence, Semantic Technologies, Information Retrieval
  • Multilingual and cross-lingual natural language processing


Join us!

Get in touch with me if you are seeking PhD or Post-Doc opportunities at one of the top universities for computer science in Germany, located in the attractive and very international Berlin area.
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Grants, Awards, and Recognition


Research Grants and Scholarships

Projects and Downloads

Universal Wordnet (UWN)
One of the largest multilingual knowledge graphs, transforming the well-known WordNet database into a massively multilingual resource covering over 1 million words and several million named entities in a single semantically organized hierarchy. Our derivative project OpenWN-PT is being used by Google Translate.
Contributes information about words and other language-related entities to the Linked Data Web and Semantic Web, leading to a Web of Data in which the British Library, the Spanish National Library, and others have linked their data to, and in turn connects its own data to other valuable resources.
Datasets and resources for sentiment analysis and fine-grained emotion analysis, in part available for multiple languages.
YAGO-SUMO Integration
An ontology providing an enormous body of axiomatized world knowledge based on YAGO as well as the Suggested Upper Merged Ontology (SUMO). YAGO was used in IBM's famous Jeopardy!-winning system Watson.
Etymological Wordnet
A database of etymological and derivational relationships between words in different languages, mined from Wiktionary.
Source Code
We have published the source code for a number of different research projects. Follow the link for a list of available code bases.
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Numerous other resources are available.

Selected Publications

Publications by Topic: All | NLP | Knowledge Graphs | Computer Vision/Multimodality | IR/Social Media | Theory | Source Code

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Further Information


Public Speaking
Over 50 public lectures and invited talks given at events and institutions in the US, Europe, and Asia.

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Professional Activities
Editorial board memberships, organized events, over 100 PC memberships, etc.

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I mainly teach courses related to data science, Big Data, and Deep Learning/AI/NLP.

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Programming Languages

▶ Java
▶ C#
▶ C++
▶ Python
▶ etc.


© 2022 Gerard de Melo