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This is a C++ project for recognizing irreguar entities from biomedical text. For details, please refer to: Li F, Zhang M, Tian B, Chen B, Fu G, Ji D. Recognizing irregular entities in biomedical text via deep neural networks [J]. Pattern Recognition Letters, 2017. DOI: https://doi.org/10.1016/j.patrec.2017.06.009

To run the program with sample data of CLEF, please use the following commond line: clef -option clef2013.option -train yourpath/sample_set -dev yourpath/sample_set -test yourpath/sample_set -trainnlp yourpath/sample_nlp -devnlp yourpath/sample_nlp -testnlp yourpath/sample_nlp -output yourpath/output

This project depends on the external libraries as below: FoxUtil (https://github.com/foxlf823/FoxUtil) eigen LibN3L

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