no code implementations • 27 Sep 2018 • Dhanush Dharmaretnam, Chris Foster, Alona Fyshe
Here we build on previous work that indicated that two very different model classes trained on two very different tasks actually build knowledge representations that have similar underlying representations.
no code implementations • 21 Sep 2018 • Kamel Alreshedy, Dhanush Dharmaretnam, Daniel M. German, Venkatesh Srinivasan, T. Aaron Gulliver
The classifier achieves an accuracy of 91. 1% in predicting the 24 most popular programming languages by combining features from the title, body and the code snippets of the question.
1 code implementation • 21 Sep 2018 • Kamel Alreshedy, Dhanush Dharmaretnam, Daniel M. German, Venkatesh Srinivasan, T. Aaron Gulliver
Determining the programming language of a source code file has been considered in the research community; it has been shown that Machine Learning (ML) and Natural Language Processing (NLP) algorithms can be effective in identifying the programming language of source code files.
no code implementations • NAACL 2018 • Dhanush Dharmaretnam, Alona Fyshe
Word vector models learn about semantics through corpora.