Dr. Christian Kahmann
Phone: +49-341-97-32239 Address: Postal Address: |
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Christian Kahmann has finished a master of Computer Science at University Leipzig in 2016. The topic of his master thesis was causal inference using gaussian processes. Since 2016 he is part of the academic staff in the department for natural language processing at the University Leipzig. His research fields are: Data Mining, Semantic Change and Causal Inference.
aktuelle Projekte
Publications
2019-
[KH19]
Christian Kahmann , Gerhard Heyer: Measuring Context Change to Detect Statements Violating the Overton Window. In: 11th International Conference on Knowledge Discovery and Information Retrieval, 2019
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[HKK19]
Heyer, Gerhard, Kahmann, Christian, Kantner, Cathleen: Generic tools and individual research needs in the Digital Humanities – Can agile development help?. In: INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge), Bonn, Gesellschaft für Informatik e.V., 2019
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[ILCM18]
Andreas Niekler, Arnim Bleier, Christian Kahmann, Lisa Posch, Gregor Wiedemann andKenan Erdogan, Gerhard Heyer, and Markus Strohmaier: ILCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data. In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), European Language Resources Association (ELRA), 2018
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[HAC18]
Federico Nanni, Goran Glavas, Simone Paolo Ponzetto, Sara Tonelli, Nicolò Conti, Ahmet Aker, Alessio Palmero Aprosio, Arnim Bleier, Benedetta Carlotti, Theresa Gessler, Tim Henrichsen, Dirk Hovy, and Christian Kahmann: Findings from the hackathon on understanding euroscepticism through the lens of textual data. In: Proceedings of the LREC 2018 Workshop ParlaCLARIN (LREC2018) workshop on creating and using parliamentary corpora , 7 May 2018, Miyazaki, Japan, LREC, 2018
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[NK17]
Andreas Niekler, Christian Kahmann: Extracting Process Graphs from Medical Text Data. In: Knowledge Graphs and Language Technology , Springer, 2017
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[KNH17]
Christian Kahmann, Andreas Niekler, Gerhard Heyer: Detecting and Assessing Contextual Change in Diachronic Text Documents using Context Volatility. In: 9th International Conference on Knowledge Discovery and Information Retrieval, 2017
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