Content Aware Source Code Change Description Generation

no code implementations • WS 2018 • Pablo Loyola, Edison Marrese-Taylor, Jorge Balazs, Yutaka Matsuo, Fumiko Satoh

We propose to study the generation of descriptions from source code changes by integrating the messages included on code commits and the intra-code documentation inside the source in the form of docstrings.

Machine Translation Text Generation

Villani at SemEval-2018 Task 8: Semantic Extraction from Cybersecurity Reports using Representation Learning

no code implementations • SEMEVAL 2018 • Pablo Loyola, Kugamoorthy Gajananan, Yuji Watanabe, Fumiko Satoh

In this paper, we describe our proposal for the task of Semantic Extraction from Cybersecurity Reports.

Representation Learning