End-to-End System for Bacteria Habitat Extraction

WS 2017 Farrokh MehryaryKai HakalaSuwisa KaewphanJari Bj{\"o}rneTapio SalakoskiFilip Ginter

We introduce an end-to-end system capable of named-entity detection, normalization and relation extraction for extracting information about bacteria and their habitats from biomedical literature. Our system is based on deep learning, CRF classifiers and vector space models... (read more)

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