BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//program.berlinbuzzwords.de//bbuzz26//speaker//RVV3BF
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-bbuzz26-KTRN8U@program.berlinbuzzwords.de
DTSTART;TZID=CET:20260608T104000
DTEND;TZID=CET:20260608T110000
DESCRIPTION:Low-resource languages expose weaknesses in NLP systems that ar
 e often hidden by benchmark data. Drawing on experience annotating fieldwo
 rk data\, this talk shows how ambiguity and annotation decisions reveal fu
 ndamental data quality issues relevant to real-world NLP pipelines.
DTSTAMP:20260525T075030Z
LOCATION:Kesselhaus
SUMMARY:Low-Resource Languages as Stress Tests for NLP Data - Priscilla Lol
 a Adenuga
URL:https://program.berlinbuzzwords.de/bbuzz26/talk/KTRN8U/
END:VEVENT
END:VCALENDAR