INF - Information infrastructure

The CRC Prominence in Language makes use of various sources of linguistic evidence and methods of analysis: data from neuro- and psycholinguistic experiments, data from elicitation tasks, production data from spontaneous speech and existing corpora, as well as results from tests assessing the acceptability of selected constructions. Project INF supports synergy between all CRC projects in the use of these methods. The project also takes the lead in ensuring data accountability and sustainability.

See list of publications

Team

Prof. Dr. Nikolaus P. Himmelmann

Principal Investigator A03, B05, C09 and INF

Office: Allg. Sprachwissenschaft, Meister-Ekkehart-Straße 7
E-mail: sprachwissenschaft(at) uni-koeln.de
Phone: (+49) 221 470-2323
Web: Prof. Dr. Nikolaus P. Himmelmann

Prof. Dr. Andreas Witt

Researcher, associated with INF

Office: Philosophikum, room 0.104
E-mail: andreas.witt(at)uni-koeln.de
Phone: (+49) 221 470-1902
Web: Prof. Dr. Andreas Witt

Maximilian Hörl

Deputy Representative Doctoral students, Doctoral student INF

Office: SFB, Luxemburger Str. 299, room 2.11
E-mail: mhoerl1(at)uni-koeln.de
Phone: (+49) 221 470-89905

Fahime Same

Doctoral student INF

Office: SFB, Luxemburger Str. 299, room 2.11
E-mail: f.same(at)uni-koeln.de
Phone: (+49) 221 470-89905
Web: Fahime Same

Publications

2020

Same, Fahime & Kees van Deemter. 2020. A linguistic perspective on reference: choosing a feature set for generating referring expressions in context. Proceedings of the 28th international conference on computational linguistics (COLING) (Online-Konferenz), 4575–4586. Barcelona, Spain (Online): International Committee on Computational Linguistics.
Same, Fahime & Kees van Deemter. 2020. Computational interpretations of recency for the choice of referring expressions in discourse. Proceedings of the first workshop on computational approaches to discourse (Online-Konferenz), 113–123. Online: Association for Computational Linguistics.

2018

Leh, A., Köhler, J., Gref, M., & Himmelmann, N. P. 2018. Speech analytics in research based on qualitative interviews. Experiences from KA3. VIEW Journal of European Television History & Culture, 7(14), 138–149.
Lobin, Henning, Roman Schneider & Andreas Witt (Eds.). 2018. Digitale Infrastrukturen für die germanistische Forschung. Berlin/Boston: de Gruyter.
Köhler, J., Leh, A., Himmelmann, N. P., & Rau, F. 2018. Audio Mining für die Geistes- und Kulturwissenschaften: Nutzungsszenarien und Herausforderungen. DHd 2018. Kritik Der Digitalen Vernunft. Conference abstracts. University of Cologne., 21-24. Cologne, Germany.

Event organization

Organization of the workshop "Week of Writing", February 19-23, 2018, together with Sara Meuser (C05).
Organization of the "R Stats User Group“ with biweekly meetings at the CRC 1252 (HoP, room 2.09).