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Chapter and Conference Paper
Overview of BioASQ 2020: The Eighth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
In this paper, we present an overview of the eighth edition of the BioASQ challenge, which ran as a lab in the Conference and Labs of the Evaluation Forum (CLEF) 2020. BioASQ is a series of challenges aiming a...
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Chapter and Conference Paper
Generating New LIWC Dictionaries by Triangulation
This work aims at exploring a triangulation-based methodology for generating a sentiment dictionary in a language from equivalent dictionaries in other languages. Direct machine translation of dictionaries gen...
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Article
Open AccessExtraction of human kinase mutations from literature, databases and genoty** studies
There is a considerable interest in characterizing the biological role of specific protein residue substitutions through mutagenesis experiments. Additionally, recent efforts related to the detection of diseas...
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Article
Open AccessOverview of the protein-protein interaction annotation extraction task of BioCreative II
The biomedical literature is the primary information source for manual protein-protein interaction annotations. Text-mining systems have been implemented to extract binary protein interactions from articles, b...
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Article
Open AccessIntroducing meta-services for biomedical information extraction
We introduce the first meta-service for information extraction in molecular biology, the BioCreative MetaServer (BCMS; http://bcms.bioinfo.cnio.es/). This pr...
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Article
Open AccessAutomatic reconstruction of a bacterial regulatory network using Natural Language Processing
Manual curation of biological databases, an expensive and labor-intensive process, is essential for high quality integrated data. In this paper we report the implementation of a state-of-the-art Natural Langua...
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Chapter and Conference Paper
NLP-Based Curation of Bacterial Regulatory Networks
Manual curation of biological databases is an expensive and labor-intensive process in Genomics and Systems Biology. We report the implem-entation of a state-of-the-art, rule-based Natural Language Processing ...