MetaTron: advancing biomedical annotation empowering relation annotation and collaboration
Ornella Irrera,
Stefano Marchesin,
Gianmaria Silvello
Abstract:Background
The constant growth of biomedical data is accompanied by the need for new methodologies to effectively and efficiently extract machine-readable knowledge for training and testing purposes. A crucial aspect in this regard is creating large, often manually or semi-manually, annotated corpora vital for developing effective and efficient methods for tasks like relation extraction, topic recognition, and entity linking. However, manual annotation is expensive and time-consuming especially… Show more
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