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Exploring the Boundaries:Gene and Protein Identification in Biomedical Text
Gene and Protein Identification Biomedical Text
2015/6/12
We present a maximum-entropy based system incorporating a diverse set of features for identifying genes and proteins in biomedical abstracts. This system was entered in the BioCreative comparative eva...
Exploiting Context for Biomedical Entity Recognition: From Syntax to the Web
Biomedical Entity Recognition Syntax to the Web
2015/6/12
We describe a machine learning system for the recognition of names in biomedical texts. The system makes extensive use of local and syntactic features within the text, as well as external resources in...
A System For Identifying Named Entities in Biomedical Text: How Results From Two Evaluations Reflect on Both the System and the Evaluations
Identifying Named Entities Biomedical Text Two Evaluations Reflect Both the System and the Evaluations
2015/6/12
We present a maximum-entropy based system for identifying Named Entities (NEs) in biomedical abstracts and present its performance in the only two biomedical Named Entity Recognition (NER) comparative...
Exploring the boundaries:gene and protein identification in biomedical text
Exploring the boundaries gene and protein biomedical text
2015/6/12
Background: Good automatic information extraction tools offer hope for automatic processing of the exploding biomedical literature, and successful named entity recognition is a key component for such ...