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SUMMARY:Challenges of Low-Resource Natural Language Processing: A Focus on
  Sentiment Analysis and Hate Speech Detection in Amharic - Seid Muhie Yima
 m (HCDS\, University of Hamburg)
DTSTART:20230519T110000Z
DTEND:20230519T120000Z
UID:TALK200029@talks.cam.ac.uk
CONTACT:Michael Schlichtkrull
DESCRIPTION:Abstract:\n\nWhile high-resource languages such as English hav
 e made significant progress in various natural language processing (NLP) a
 pplications\, low-resource languages are struggling to keep up. Drawing fr
 om our experience and expertise at the LT (Language Technology) group\, th
 is talk will shed light on the main challenges facing NLP in low-resource 
 languages. After providing an overview of the basics\, I will showcase hat
 e speech detection and sentiment analysis as two use cases for the Amharic
  language. This presentation is an expansion of my keynote speech at AFric
 aNLP collocated with ICLR 2023 at Kigali\, Rwanda.\n\nBio:\n\nI'm Seid Muh
 ie Yimam\, a Technical Lead at the house of computing and data science (HC
 DS) and Research Associate at the Language Technology Group at the Univers
 ity of Hamburg\, supervised by Prof. Chris Biemann. At HCDS\, I lead resea
 rch on data processing of textual content for digital humanities. My Ph.D.
  focused on integrating adaptive machine learning models into NLP applicat
 ions. I've participated on social media NLP\, mainly hate speech detection
  and sentiment analysis for the Ethiopian language of Amharic. I teach NLP
  courses and supervise Master's projects/thesis in the group.\n\nTopic: NL
 IP Seminar Time: May 19\, 2023 12:00 PM London\n\n\nJoin Zoom Meeting\nhtt
 ps://cl-cam-ac-uk.zoom.us/j/98061669047?pwd=SWJhMVRCakh4QXJ2VmpXM0pHdFZoUT
 09\n\nMeeting ID: 980 6166 9047\nPasscode: 045542
LOCATION:Virtual (Zoom)
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