Code embedding is a vital step in analyzing source code through machine learning methods.
At this seminar we will survey several approaches to this task. We will classify these approaches by the way they input the source code. Most interesting papers we will discuss in detail.
The aim of this presentation is to give the most complete review of current approaches to source code embedding.
Speaker: Natalia Murycheva.
Presentation language: Russian.
Date and time: October 31st, 20:00-21:30.
Location: Times, 204.