BEGIN:VCALENDAR
VERSION:2.0
PRODID:OpenCms 21.0.27
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700329T020000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701025T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20220604T095041
UID:080b8ba1-e3db-11ec-96b9-000e0c3db68b
SUMMARY:Agnieszka Falenska: NLP Intelligent Systems – Design and Methodological Perspectives
DESCRIPTION:Ort: Seidenstraße 36, Raum 2.076\nIm Rahmen des Kolloquiums der Abteilung SOWI VII freuen wir uns ganz herzlich Agnieska Falenska mit dem Vortrag "NLP Intelligent Systems -- Design and Methodological Perspectives" bei uns begrüßen zu dürfen.\nBeschreibung:\nNatural Language Processing (NLP) systems aim at analyzing, understanding, and generating human language. Possible applications of these tools are constantly growing and reaching domains beyond the NLP field, with such use cases as medical fact-checking, supporting political debates, or translating technical reports. Yet, standard NLP publications focus primarily on improving the accuracy of developed techniques, leaving out insight on how to apply them outside of the typical experimental setups.\nIn this talk, I will look into the design of NLP models from three methodological perspectives: run time, accuracy, and training resources. First, I will show how to incorporate these perspectives into guidelines for designing particular NLP architectures -- ensemble dependency parsers. Then, I will focus on the questions related to the training resources. Specifically, I will present my recent work on estimating gender-related biases in Wikipedia's content and their possible consequences for NLP models trained on this data source.\n \nAlle Interessierten sind ebenso herzlich dazu eingeladen. Eine Anmeldung ist nicht nötig.
DTSTART;TZID=Europe/Berlin:20220628T180000
DTEND;TZID=Europe/Berlin:20220628T190000
LOCATION:Universität Stuttgart, Abteilung SOWI VII, Raum 2.076, Seidenstr. 36, 70174 Stuttgart
URL;VALUE=URI:https://www.sowi.uni-stuttgart.de/institut/aktuelles/Agnieszka-Falenska-NLP-Intelligent-Systems--Design-and-Methodological-Perspectives/
END:VEVENT
END:VCALENDAR