Christof Müller

Also published as: Christof E. Müller


A Study on the Semantic Relatedness of Query and Document Terms in Information Retrieval
Christof Müller | Iryna Gurevych
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing


Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary
Torsten Zesch | Christof Müller | Iryna Gurevych
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

Recently, collaboratively constructed resources such as Wikipedia and Wiktionary have been discovered as valuable lexical semantic knowledge bases with a high potential in diverse Natural Language Processing (NLP) tasks. Collaborative knowledge bases however significantly differ from traditional linguistic knowledge bases in various respects, and this constitutes both an asset and an impediment for research in NLP. This paper addresses one such major impediment, namely the lack of suitable programmatic access mechanisms to the knowledge stored in these large semantic knowledge bases. We present two application programming interfaces for Wikipedia and Wiktionary which are especially designed for mining the rich lexical semantic information dispersed in the knowledge bases, and provide efficient and structured access to the available knowledge. As we believe them to be of general interest to the NLP community, we have made them freely available for research purposes.


What to be? - Electronic Career Guidance Based on Semantic Relatedness
Iryna Gurevych | Christof Müller | Torsten Zesch
Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics


Ontology-based Contextual Coherence Scoring
Robert Porzel | Iryna Gurevych | Christof E. Müller
Proceedings of the Fourth SIGdial Workshop of Discourse and Dialogue