ontogene.org ontogene.org

ontogene.org

ontogene

OGER: OntoGene Entity Recognition. In the biomedical domain. OntoGene/BioMeXT is a research initiative which aims at pushing the boundaries of text mining for the biomedical literature. Our core competencies lie in Information Extraction. Ie the extraction of domain-specific entities. Proteins, drugs, diseases. And their semantic relations,. From the biomedical scientific literature. We consider community-run evaluation challenges. Challenges (since 2006), the BioNLP shared task. Database, in a project.

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CONTACTS AT ONTOGENE.ORG

Fabio Rinaldi

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Fabio Rinaldi

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ri●●●●●@ifi.unizh.ch

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Fabio Rinaldi

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ri●●●●●@ifi.unizh.ch

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OGER: OntoGene Entity Recognition. In the biomedical domain. OntoGene/BioMeXT is a research initiative which aims at pushing the boundaries of text mining for the biomedical literature. Our core competencies lie in Information Extraction. Ie the extraction of domain-specific entities. Proteins, drugs, diseases. And their semantic relations,. From the biomedical scientific literature. We consider community-run evaluation challenges. Challenges (since 2006), the BioNLP shared task. Database, in a project.
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7 bio term hub
8 code github
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ontogene | ontogene.org Reviews

https://ontogene.org

OGER: OntoGene Entity Recognition. In the biomedical domain. OntoGene/BioMeXT is a research initiative which aims at pushing the boundaries of text mining for the biomedical literature. Our core competencies lie in Information Extraction. Ie the extraction of domain-specific entities. Proteins, drugs, diseases. And their semantic relations,. From the biomedical scientific literature. We consider community-run evaluation challenges. Challenges (since 2006), the BioNLP shared task. Database, in a project.

INTERNAL PAGES

ontogene.org ontogene.org
1

BioTermEvo - ontogene

http://www.ontogene.org/projects/biotermevo

Detecting the Evolution of Biomedical Domain Terminology". Is a project/fellowship funded by the Sciex. Commission. The project will be carried out by Dr. Gintarė Grigonytė. She will work with the members of the OntoGene project, under the joint supervision of Prof. Martin Volk and Dr. Fabio Rinaldi.

2

CTD - ontogene

http://www.ontogene.org/odin-applications/ctd

As part of our participation in BioCreative 2012 and BioCreative 2013 we have performed several experiments with the Comparative Toxicogenomics Database. CTD) We have used CTD datasets to train and test entity extraction and relation extraction algorithms (an example of extracted relations is shown in the picture to the right). Additionally, we have customized ODIN using CTD entities (see picture left). We have obtained the BEST overall results. In the CTD task in BioCreative 2012. Using Large Biomedical...

3

people - ontogene

http://www.ontogene.org/people

EMAIL: fabio AT ontogene.org. EMAIL: siclemat AT ifi.uzh.ch. EMAIL: ellendorff AT ifi.uzh.ch. EMAIL:lenz.furrer AT uzh.ch. EMAIL: ncolic AT gmail.com. Adrian van der Lek. EMAIL: adrian.vanderlek AT uzh.ch. EMAIL: martin.romacker AT roche.com. EMAIL: raul.rodriguez-esteban AT roche.com. EMAIL: kalju AT ifi.uzh.ch. EMAIL: gintare AT ifi.uzh.ch. EMAIL: h2m AT access.uzh.ch. EMAIL: gschneid AT ifi.uzh.ch.

4

ODIN: description - ontogene

http://www.ontogene.org/odin

The OntoGene Document INspector) is a tool aimed at supporting the curation of biomedical literature through integration of powerful text mining technologies. The ODIN system is being developed within the scope of the SASEBio project. Semi-Automated Semantic Enrichment of the Biomedical Literature), as a collaboration between the OntoGene group. If you find this work interesting or inspiring, please cite the following papers:. Fourth International Biocuration Conference, 2010. Also available as:. Rinaldi...

5

past projects - ontogene

http://www.ontogene.org/projects

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OGER: OntoGene Entity Recognition. In the biomedical domain. OntoGene/BioMeXT is a research initiative which aims at pushing the boundaries of text mining for the biomedical literature. Our core competencies lie in Information Extraction. Ie the extraction of domain-specific entities. Proteins, drugs, diseases. And their semantic relations,. From the biomedical scientific literature. We consider community-run evaluation challenges. Challenges (since 2006), the BioNLP shared task. Database, in a project.

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