Meeting #121: [Online-only; 15:00] A Diagnostic Study of Explainability Techniques for Text Classification

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Karen Hambardzumyan

May 28, 2021, 2:54:12 PM5/28/21
to Machine Learning Reading Group Yerevan

Hi everyone,

This week Erik Arakelyan (Researcher @ ARM, PhD Student @ CopeNLU) will present a paper from EMNLP'2020 —  A Diagnostic Study of Explainability Techniques for Text Classification. In the work, the authors develop a set of diagnostic properties for explainability technique evaluation, while giving empirical and intuitive justifications for the chosen properties. A broad spectrum of explainability methods is discussed, with further discussion of their shortcomings in terms of explainability value and completeness. 

I will strongly encourage everyone to join the meeting, especially those seeking to attain better intuition on how deep learning models work.

See you at 3pm on Saturday, Zoom meeting link:

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