Difference between revisions of "Machine Learning biotml"
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== About BioTML Plug-in == | == About BioTML Plug-in == | ||
| − | + | BioTML is a Machine learning based plug-in that enables users to create models, trained based on available annotations (NER or RE) created by the user using the manual curation environment. | |
| + | These models can be used in a prediction stage to annotate documents from a selected @Note corpus. | ||
== Install Plug-in == | == Install Plug-in == | ||
Revision as of 11:55, 4 August 2015
Contents
About BioTML Plug-in
BioTML is a Machine learning based plug-in that enables users to create models, trained based on available annotations (NER or RE) created by the user using the manual curation environment. These models can be used in a prediction stage to annotate documents from a selected @Note corpus.
Install Plug-in
User HowTOs
Corpus_Create_Annotation_Schema_By_BioTML_Tagger
Corpus_Relation_Extraction_By_BioTML_Tagger
MVC AIBench Model:
Operations:
CreateNERModelFile: Creates a BioTML NER model file using an existent NERProcess for novel entity identification in other corpus.
CreateREModelFile: Creates a BioTML RE model file using an existent REProcess for novel relations identification in other corpus.
AnnotateCorpusWithNERModel: Apply the NER Process to Corpus based in the provided machine learning model prediction for entity identification.
AnnotateCorpusWithREModel: Apply the RE Process to Corpus based in the provided machine learning model prediction associated with an existent NERProcess for entity identification.
