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A dictionary- and rule-based system for identification of bacteria and habitats in text

2016-08-01 · WS 2016 8 · Helen V Cook, Evangelos Pafilis, Lars Juhl Jensen
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Named Entity Recognition (NER)

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Background: Existing bacterial culture test results for infectious diseases are written in unrefined text, resulting in many problems, including typographical errors and stop words. Effective spelling correction process…

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End-to-End System for Bacteria Habitat Extraction

2017-08-01 · WS 2017 8 · Farrokh Mehryary, Kai Hakala, Suwisa Kaewphan, Jari Bj{\"o}rne 외

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 d…

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The rise in the availability of bacterial genomes defines a need for synthesis: abstracting from individual taxa, to see larger patterns of bacterial lifestyles across systems. A key concept for such synthesis in ecology…

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Rapidly assaying the diversity of a bacterial species present in a sample obtained from a hospital patient or an evironmental source has become possible after recent technological advances in DNA sequencing. For several …

Diversity

BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes

2019-11-01 · WS 2019 11 · {\.I}lknur Karadeniz, {\"O}mer Faruk Tuna, Arzucan {\"O}zg{\"u}r

This paper presents our participation to the Bacteria Biotope Task of the BioNLP Shared Task 2019. Our participation includes two systems for the two subtasks of the Bacteria Biotope Task: the normalization of entities (…

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