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About Code2vec Learning Distributed Representations of Code
This document presents code2vec, a neural model that learns distributed vector representations (embeddings) of code snippets. The model trains on a dataset of 14 million code snippets to predict method names from code bodies. It uses the abstract syntax tree to represent code snippets as collections of paths, and learns atomic representations of each path while aggregating them into a single vector. Evaluation shows the model can predict method names of unseen code with over 75% relative improvement over prior techniques. It also learns semantic similarities between method names that capture analogies.
Detailed Information
| Author: | ['aaabbaaabb'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 30 |
| Language: | English |
| Format: | |
| Price: | FREE |
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