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UID:pretalx-pyconde-pydata-berlin-2023-B7PCUR@pretalx.com
DTSTART;TZID=CET:20230417T151000
DTEND;TZID=CET:20230417T154000
DESCRIPTION:In this talk\, we will explore the build-measure-learn paradigm
  and the role of baselines in natural language processing (NLP). We will c
 over the common NLP tasks of classification\, clustering\, search\, and na
 med entity recognition\, and describe the baseline approaches that can be 
 used for each task. We will also discuss how to move beyond these baseline
 s through weak learning and transfer learning. By the end of this talk\, a
 ttendees will have a better understanding of how to establish and improve 
 upon baselines in NLP.
DTSTAMP:20260722T081518Z
LOCATION:A03-A04
SUMMARY:How to baseline in NLP and where to go from there - Tobias Sterbak
URL:https://pretalx.com/pyconde-pydata-berlin-2023/talk/B7PCUR/
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