Personal Information

Foto: Eugen Ruppert
nameEugen Ruppert
positionResearch Assistant

+49 (6151) 16-23208

fax+49 (6151) 16-25412
officeS2-02 A322
postal address

TU Darmstadt - FB 20
Language Technology

Hochschulstraße 10
D-64289 Darmstadt




  • JobimText Software Project: We develop a software solution for contextualizing distributional similarity for text expansion. Focus is on a scalable implementation, using MapReduce. The project is hosted on Sourceforge and is available under the Apache 2.0 License.

  • LICORES: The aim of this project is to develop methods to align new extracted knowledge into ontologies. These ontologies are used to label the input text, thus enabling semantic applications.

  • ABSA-DB: We develop an open source software for aspect-based sentiment analysis. This project is part of the DB-TUDA innovation alliance.


Unsupervised Conceptualization and Semantic Text Indexing for Information Extraction
Eugen Ruppert. 2016.
In: Proceedings of the ESWC 2016 (Student Research Workshop), p. 853--862, Anissaras, Crete, Greece.

TAXI: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling
Alexander Panchenko, Stefano Faralli, Eugen Ruppert, Steffen Remus, Hubert Naets, Cédric Fairon, Simone Paolo Ponzetto and Chris Biemann. 2016.
In: Proceedings of the 10th International Workshop on Semantic Evaluation, Association for Computational Linguistics, San Diego, CA, USA. [winning system]

JoBimViz: A Web-based Visualization for Graph-based Distributional Semantic Models
Eugen Ruppert, Manuel Kaufmann, Martin Riedl and Chris Biemann. 2015.
In: The Annual Meeting of the Association for Computational Linguistics (ACL) System Demonstrations, p. 103--108, Beijing, China.

Analysing Domain Suitability of a Sentiment Lexicon by Identifying Distributionally Bipolar Words
Lucie Flekova, Eugen Ruppert and Daniel Preotiuc-Pietro. 2015.
In: Association for Computational Linguistics: Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, p. 77-84, Lisboa, Portugal.

Rule-based Dependency Parse Collapsing and Propagation for German and English
Eugen Ruppert, Jonas Klesy, Martin Riedl and Chris Biemann. 2015.
In: Proceedings of the GSCL 2015, GSCL 2015, p. 58--66, Essen, Germany.

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