Annotated Code Search
2 papers with code • 3 benchmarks • 3 datasets
Annotated code search is the retrieval of code snippets paired with brief descriptions of their intent using natural language queries.
Benchmarks
These leaderboards are used to track progress in Annotated Code Search
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PACS
PyTorrent
ISAdetect dataset
Most implemented papers
Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction
Until now, error type performance for Grammatical Error Correction (GEC) systems could only be measured in terms of recall because system output is not annotated.
Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent
In this work, we propose and study annotated code search: the retrieval of code snippets paired with brief descriptions of their intent using natural language queries.
