Graduate Seminar
General Information
Lecturer: Prof. Dr. Benno Stein
Place: B11, lecture hall 013
Time: Mo. 3:00pm - 5:00pm or Fr. 10:00am - 12:00am
Description
In this seminar current trends from the fields of information retrieval, machine learning and data mining are presented, discussed, and taught. Aside from PhDs and master students from the Webis group also referents from other universities and the industry are invited. Slides linked from this page can be accessed only from inside the university.Talks
[2023-03-10, 15:00]
Webis Students and Staff, Bauhaus-Universität Weimar, Germany: Webis Flash Talks 2023. [slides]
[2022-03-11, 15:00]
Webis Students and Staff, Bauhaus-Universität Weimar, Germany: Webis Flash Talks 2022. [slides]
[2021-03-12, 15:00]
Webis Students and Staff, Bauhaus-Universität Weimar, Germany: Webis Flash Talks 2021. [slides]
[2019-07-05, 9:30]
Webis Staff, Bauhaus-Universität Weimar and MLU Halle-Wittenberg, Germany: 1st Webis Hackathon. [slides: docker, kubernetes]
[2018-03-14, 14:30]
Avishek Anand, L3S, Germany: Temporal Information Retrieval and Interpretability in Search Systems. [slides]
[2017-04-04, 11:00]
Stephan Stahlschmidt, DZHW, Germany: Vorstellung des DZHW und des Kompetenzzentrum Bibliometrie. [slides]
[2017-01-12, 11:00]
Webis Students and Staff, Bauhaus-Universität Weimar, Germany: Webis Talks Flash 2017. [slides]
[2016-02-22, 12:00]
Michael Granitzer, Universität Passau, Germany: Research@MICS Media Computer Science Passau. [slides]
[2015-08-21, 11:00]
Henning Wachsmuth, Bauhaus-Universität Weimar, Germany: Text Analysis and Feature Extraction in AITools 4 based on Apache UIMA. [slides]
[2015-06-01, 12:00]
O. P. Vyas, IIIT Allahabad, India: Data Mining Research at IIIT Allahabad.
[2014-12-18, 11:00]
Webis Students, Bauhaus-Universität Weimar, Germany: Webis Projects Winter Term 2014/2015. [slides]
[2014-07-03, 16:00]
Khalid Al Khatib, Universität Stuttgart, Germany: Automatic Detection of Point of View Differences in Wikipedia. [slides]
[2014-06-03, 10:00]
Heiko Peter, match2blue GmbH Jena, Germany: Semantische Ähnlichkeitsberechnung zwischen Wörtern und deren Anwendung.
[2014-06-02, 10:00]
Jan Goldenstein, Sebastian Händschke, Philipp Poschmann, Peter Walgenbrach, Friedrich-Schiller-Universität Jena, Germany: Computerwissenschaften & Sozial-/Wirtschaftswissenschaften. [slides]
[2013-11-15, 14:00]
Christian Stab, Technische Universität Darmstadt, Germany: Intelligent Writing Assistance and beyond. [slides]
[2013-07-18, 14:00]
Adrian Pastor Lopez Monroy, National Institute of Astrophysics, Optics and Electronics, Mexico: INAOE's participation at PAN'13: Author Profiling Task. [slides]
[2013-01-18, 12:00]
Pavel Braslavski, Kontur labs, Russia: Kontur Labs' Mix. [slides]
[2012-08-08, 12:00]
Florian Laws, University of Stuttgart, Germany: Effective Active Learning for Complex Natural Language Processing Tasks. [slides]
[2012-08-07, 10:00]
Michael Völske, Bauhaus-Universität Weimar, Germany: What's new in Java land? [slides]
[2012-07-13, 13:30]
Martin Kleppe, Ubilabs GmbH Hamburg, Germany: Javascript, Ubilabs, and Google Maps. [slides: part 1, part 2]
[2012-07-06, 10:00]
Robert H. Warren, Carleton University, Canada: Schema, ontologies, archives and next generation IR problems. [slides]
[2012-06-27, 18:00]
Henning Wachsmuth, University of Paderborn, Germany: Back to the Roots of Genres: Text Classification by Language Function. [slides]
[2012-06-27, 17:00]
Edgardo Ferretti, Universidad Nacional de San Luis, Argentina: A PU Learning Approach for Quality Flaw Prediction in Wikipedia. [slides]
[2012-02-14, 11:00]
Jörg Frochte, Bochum University of Applied Sience, Germany: Overlap Optimization for Domain Decomposition Methods.
[2010-06-08, 10:00]
Robert H. Warren, University of Zurich, Switzerland: Querying Linked Open Data.
[2009-05-20, 15:30]
Lars Littig, University of Leipzig, Germany: Classifying Web Sites.
[2009-02-24, 10:00]
Robert H. Warren, University of Waterloo, Canada: Digitization of Historical Data of World War I.
[2007-10-10, 11:00]
Dirk Lewandowski, Applied University Hamburg: Google Scholar – die Möglichkeiten und Grenzen der Wissenschaftssuchmaschine.