Also written by L. Li:
Integrating semantic information into multiple kernels for protein-protein interaction extraction from biomedical literatures.
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Boosting performance of gene mention tagging system by hybrid methods.

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Boosting performance of gene mention tagging system by hybrid methods. J Biomed Inform. 2011 Oct 28; Authors: Li L, Fan W, Huang D, Dang Y, Sun J Abstract NER (Named Entity Recognition) in biomedical literature is presently one of the internationally concerned NLP (Natural Language Processing) research questions. In order to get higher performance, a hybrid experimental framework is presented for the gene mention tagging task. Six classifiers are firstly constructed by four toolkits (CRF++, YamCha, Maximum Entropy (ME) and MALLET) with different training methods and features sets, and then combined with three different hybrid methods respectively: simple set operation ...
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