Gerhard Kremer

Mister  Dr. ric.
Gerhard Kremer
Scientific assistant (project administration and coordination)

Gerhard Kremer
Phone +49 (0)711 685-81327
Universität Stuttgart
Institut für Maschinelle Sprachverarbeitung
Pfaffenwaldring 5 b
70569 Stuttgart


Please ask me in advance via e-mail.



Nils Reiter, Nora Ketschik, Gerhard Kremer, and Sarah Schulz. Maschinelles Lernen lernen: Ein CRETA-Hackatorial zur reflektierten automatischen Textanalyse. In Conference abstracts of DHd 2018, pages 39–42, Cologne, Germany, 2018.
[ paper | BibTeX ]


Nils Reiter, Sarah Schulz, Gerhard Kremer, Roman Klinger, Gabriel Viehhauser, and Jonas Kuhn. Teaching computational aspects in the Digital Humanities program at University of Stuttgart – Intentions and experiences. In Peggy Bockwinkel, Thierry Declerck, Sandra Kübler, and Heike Zinsmeister, editors, Proceedings of the GSCL Workshop on Teaching NLP for Digital Humanities (Teach4DH 2017), volume 1918 of CEUR workshop proceedings, pages 43–48, 2017.
[ paper | BibTeX ]

Nils Reiter, Andre Blessing, Nora Echelmeyer, Steffen Koch, Gerhard Kremer, Sandra Murr, Maximilian Overbeck, and Axel Pichler. CUTE: CRETA Un-/Shared Task zu Entitätenreferenzen. In Conference abstracts of DHd 2017, pages 19–22, Bern, Switzerland, 2017. Workshop material available from
[ paper | BibTeX | workshop material ]


Kremer, Gerhard. Verstehen Computer Sprache? In Ekkehard Felder and Rudger Lieb, editors, Texte. Seit 1386. Gedichte – Kurzprosa – Sprachdaten. Von Wissenschaftlerinnen und Wissenschaftlern der Universität Heidelberg in der Akademischen Mittagspause vorgestellt und erläutert, pages 145–151, Universitätsverlag Winter, Heidelberg, 1st edition.
[ paper | BibTeX | talk ]


Gerhard Kremer, Katrin Erk, Sebastian Padó, and Stefan Thater. What substitutes tell us – Analysis of an ”all-words“ lexical substitution corpus. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pages 540–549, Gothenburg, Sweden, April 2014. Association for Computational Linguistics.
[ paper | BibTeX | corpus ]


Gerhard Kremer, Matthias Hartung, Sebastian Padó, and Stefan Riezler. Statistical machine translation support improves human adjective translation. Translation: Computation, Corpora, Cognition. Special Issue on the Crossroads Between Contrastive Linguistics, Translation Studies, and Machine Translation, 2(1):103–126, July 2012.
[ paper | BibTeX | teaser talk ]


Gerhard Kremer and Marco Baroni. A set of semantic norms for German and Italian. Behavior Research Methods, 43(1):97–109, March 2011. doi: 10.3758/s13428-010-0028-x. Final paper version available from publisher at
[ paper | BibTeX | manuscript | norms data ]


Gerhard Kremer. A Crow’s Beak is not Yellow – Investigations on Cognitively Salient Concept Properties. PhD thesis, Center for Mind and Brain Sciences (CIMeC), University of Trento, Italy, 2010.
[ dissertation | BibTeX | talk | poster1 | poster2 | scripts ]

Gerhard Kremer and Marco Baroni. Predicting cognitively salient modifiers of the constitutive parts of concepts. In Proceedings of the 2010 Workshop on Cognitive Modeling and Computational Linguistics (CMCL), pages 54–62, Uppsala, Sweden, July 2010. Association for Computational Linguistics (ACL).
[ paper | BibTeX | talk ]

Gerhard Kremer and Andrea Abel. Semantic relations in cognitive eLexicography. In Anne Dykstra and Tanneke Schoonheim, editors, Proceedings of the XIV EURALEX International Congress, pages 380–388, Leeuwarden, Netherlands, July 2010. Fryske Akademy, Afûk.
[ paper | BibTeX ]


Gerhard Kremer, Andrea Abel, and Marco Baroni. Cognitively salient relations for multilingual lexicography. In Michael Zock and Chu-Ren Huang, editors, Proceedings of the Workshop on Cognitive Aspects of the Lexicon (COGALEX 2008), pages 94–101, Manchester, United Kingdom, August 2008. Coling 2008 Organizing Committee.
[ paper | BibTeX | talk ]

Stefanie Anstein and Gerhard Kremer. Analysing Names of Organic Chemical Compounds – From Morpho-Semantics to SMILES Strings and Classes. VDM Verlag Dr. Müller, March 2008.


Stefanie Anstein, Gerhard Kremer, and Uwe Reyle. Identifying and classifying terms in the life sciences: The case of chemical terminology. In Nicoletta Calzolari, Khalid Choukri, Aldo Gangemi, Bente Maegaard, Joseph Mariani, Jan Odijk, and Daniel Tapias, editors, Proceedings of the Fifth Language Resources and Evaluation Conference (LREC 2006), pages 1095–1098. ELRA–ELDA Genoa, Italy, 2006.
[ paper | BibTeX ]

Gerhard Kremer, Stefanie Anstein, and Uwe Reyle. Analysing and classifying names of chemical compounds with CHEMorph. In Sophia Ananiadou and Juliane Fluck, editors, Proceedings of the Second International Symposium on Semantic Mining in Biomedicine (SMBM 2006), pages 37–43. JULIE Lab, Friedrich Schiller University of Jena, Germany, 2006.
[ paper | BibTeX | talk ]


Stefanie Anstein and Gerhard Kremer. Analysing names of organic chemical compounds – From morpho-semantics to SMILES strings and classes. Diploma thesis, Institute for Natural Language Processing (IMS), University of Stuttgart, Germany, 2005.
[ thesis | BibTeX | Prolog source code: please ask ]


Gerhard Kremer. Untersuchung der Sprecherindividualität höherer Formanten. Student’s thesis, Institute for Natural Language Processing (IMS), University of Stuttgart, Germany, 2004.
[ thesis | BibTeX | talk ]


Materials used for the CUTE workshop (CRETA Un/Shared Task on Entity References,
taken place at DHd 2017, a conference on Digital Humanities in the German-speaking
region) - it contains a heterogeneous corpus (debates from the German national
parliament, letters from Goethe’s The Sorrows of Young Werther, a segment from
Adornos Ästhetische Theorie, and books of Wolfram’s von Eschenbach Parzival,
annotated with entity references) and the annotation guidelines.

CoInCo (Concepts in Context), an all-words lexical substitution corpus,
also included in the MASC corpus

Semantic production norms
(concept properties, in DE & IT)
collected in a psycholinguistic experiment,
as supplementary material described in this scientific paper

Programming scripts
from the dissertation ...
... for generating balanced random stimuli sets [ perl ]
    (also when having to subset the stimuli for an experiment run),
... printing sets of stimuli sheets for experiment participants [ perl/LaTeX ]
    (for handwritten collection of behavioral data),
... and running a reaction time experiment with visual word stimuli [ python ]
    (using the VisionEgg python module)