Towards an Obesity-Cancer Knowledge Base: Biomedical Entity Identification and Relation Detection.

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Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach.OC-2-KB: A software pipeline to build an evidence-based obesity and cancer knowledge base.OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system

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Towards an Obesity-Cancer Knowledge Base: Biomedical Entity Identification and Relation Detection.

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Towards an Obesity-Cancer Know ...... ication and Relation Detection

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Amanda Hicks

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François Modave

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Jiang Bian

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Josh Hanna

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William Hogan

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Yi Guo

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P2860

Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features

Automated concept and relationship extraction for the semi-automated ontology management (SEAM) system

NCBI disease corpus: a resource for disease name recognition and concept normalization

Synonym extraction and abbreviation expansion with ensembles of semantic spaces

Overweight, obesity and cancer: epidemiological evidence and proposed mechanisms

BioPortal: ontologies and integrated data resources at the click of a mouse

ABNER: an open source tool for automatically tagging genes, proteins and other entity names in text.

BANNER: an executable survey of advances in biomedical named entity recognition.

An overview of MetaMap: historical perspective and recent advances

Global burden of cancer attributable to high body-mass index in 2012: a population-based study.

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1081-1088

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10.1109/BIBM.2016.7822672

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2016

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Zhe He

Juan Antonio Lossio-Ventura

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knowledge base

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Towards an Obesity-Cancer Knowledge Base: Biomedical Entity Identification and Relation Detection.

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P2860

P2860

Towards an Obesity-Cancer Knowledge Base: Biomedical Entity Identification and Relation Detection.

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