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May 2018
Codecatch: extracting source code snippets from online sources
RAISE '18: Proceedings of the 6th International Workshop on Realizing Artificial Intelligence Synergies in Software EngineeringPages 21–27https://doi.org/10.1145/3194104.3194107

Nowadays, developers rely on online sources to find example snippets that address the programming problems they are trying to solve. However, contemporary API usage mining methods are not suitable for locating easily reusable snippets, as they provide ...
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December 2009
Ranking vs. Classification: A Case Study in Mining Organization Name Translation from Snippets
IALP '09: Proceedings of the 2009 International Conference on Asian Language ProcessingPages 308–313https://doi.org/10.1109/IALP.2009.73

Both classification and ranking strategy have been reported positively in mining the named entity (NE) translation from the snippets re-turned by the web search engine. Taking the most challenging issue of the organization name and its translation as an ...
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