Caroline Sporleder
Invited Talks and Guest Lectures
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CNTS Colloquium, University of Antwerp
9. January 2009
Classifying Discourse Relations. How much can be learned from automatically labelled examples?
IMS, Stuttgart University
8. Mai 2008
Semi-Automatic Expansion of Frame-Semantic Annotations: From Verbal to Nominal Predicates
[slides (.pdf)]
Institut für deutsche Sprache, Mannheim
31. January 2008
SALSA: Erstellung und Nutzung einer framesemantisch annotierten Korpus- und Lexikonressource für das Deutsche
[slides (.pdf)]
Ereignissemantik-Workshop, Tübingen
21. December 2007
Das Salsa-Korpus. Eine lexikalisch-semantische Ressource für das Deutsche
(mit Andrea Kowalski)
[slides (.pdf)]
The University of Edinburgh, School of Informatics, Scotland
11 October 2007
Text Mining for Cultural Heritage Data from the Natural History Domain
[slides (.pdf)]
IGK Annual Meeting 2007, Trier, Germany
9 June 2007
Assessing the Utility of Automatically Labelled Examples to Classify Discourse Relations
[slides (.pdf)]
Naturalis, National Museum of Natural History, Leiden, The Netherlands
17 April 2007
Converting Fieldbooks to Databases. An Update of the MITCH Project
[slides (.pdf.gz)]
Universität des Saarlandes, Institut für Computerlinguistik und Phonetik, Germany
11 December 2006
Assessing the Utility of Automatically Labelled Examples to Classify Discourse Relations
[slides (.pdf)]
Tilburg University, Guest Lecture in "Digitaal Erfgoed" (Digital Cultural Heritage) Lecture Series, The Netherlands
21 September 2006 (with Marieke van Erp)
The MITCH Project
[slides (.pdf.gz)]
Naturalis, National Museum of Natural History, Leiden, The Netherlands
7 March 2006
Cleaning and Enriching Research Data on Reptiles and Amphibians. The MITCH Pilot Project.
[slides (.pdf)]
University of Washington, Department of Linguistics, USA
17 March 2005
Discovering Lexical Generalisations. (Semi-)Automatic Construction of Lexical Inheritance Hierarchies
[slides (.pdf)]
Bielefeld University, Spoken Language and Computational Linguistics Colloquium, Germany
8 June 2004
Current Trends in Machine Learning