Import2vec: learning embeddings for software libraries
We consider the problem of developing suitable learning representations (embeddings) for library packages that capture semantic similarity among libraries. Such representations are known to improve the performance of downstream learning tasks (e.g. classification) or applications such as contextual search and analogical reasoning.
For a live demo of a contextual search engine built on import2vec, please visit https://www.code-compass.com.
Sun 26 May
|11:00 - 11:15|
|Pre-print Media Attached|
|11:16 - 11:22|
Vladimir KovalenkoTU Delft, Egor BogomolovHigher School of Economics, JetBrains Research, Timofey Bryksin, Alberto BacchelliUniversity of ZurichDOI Pre-print Media Attached
|11:23 - 11:38|
|11:39 - 11:45|
Vasiliki EfstathiouAthens University of Economics and Business, Diomidis SpinellisAthens University of Economics and BusinessPre-print