论文信息 - Edlin: an Easy to Read Linear Learning Framework

Edlin: an Easy to Read Linear Learning Framework

The Edlin toolkit provides a machine learning framework for linear models, designed to be easy to read and understand. The main goal is to provide easy to edit working examples of implementations for popular learning algorithms. The toolkit consists of 27 Java classes with a total of about 1400 lines of code, of which about 25% are I/O and driver classes for examples. A version of Edlin has been integrated as a processing resource for the GATE architecture, and has been used for gene tagging, gene name normalization, named entity recognition in Bulgarian and biomedical relation extraction.

Georgi Georgiev | Kuzman Ganchev | Georgi Georgiev | Kuzman Ganchev

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