about
BioLemmatizer: a lemmatization tool for morphological processing of biomedical textA large-scale evaluation of computational protein function predictionThe CHEMDNER corpus of chemicals and drugs and its annotation principlesBig data in medicine is driving big changesLarge-scale biomedical concept recognition: an evaluation of current automatic annotators and their parametersU-Compare bio-event meta-service: compatible BioNLP event extraction servicesThe gene normalization task in BioCreative IIIText mining improves prediction of protein functional sites.The textual characteristics of traditional and Open Access scientific journals are similar.Concept annotation in the CRAFT corpus.Combining heterogeneous data sources for accurate functional annotation of proteins.Protein annotation as term categorization in the gene ontology using word proximity networksHIGH-PRECISION BIOLOGICAL EVENT EXTRACTION: EFFECTS OF SYSTEM AND OF DATA.PHENOstruct: Prediction of human phenotype ontology terms using heterogeneous data sourcesText mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources.Towards a semantic lexicon for biological language processing.A UIMA wrapper for the NCBO annotator.The structural and content aspects of abstracts versus bodies of full text journal articles are different.BioC interoperability track overviewRepresenting annotation compositionality and provenance for the Semantic Web.Exploring species-based strategies for gene normalization.Mutation extraction tools can be combined for robust recognition of genetic variants in the literatureA corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools.Associating disease-related genetic variants in intergenic regions to the genes they impactApproximate subgraph matching-based literature mining for biomedical events and relationsBioC: a minimalist approach to interoperability for biomedical text processingAssessing the impact of case sensitivity and term information gain on biomedical concept recognition.Optimizing graph-based patterns to extract biomedical events from the literature.Establishing a baseline for literature mining human genetic variants and their relationships to disease cohorts.Literature mining of protein-residue associations with graph rules learned through distant supervisionSpecial issue on bio-ontologies and phenotypes.A categorization approach to automated ontological function annotation.Detection of protein catalytic sites in the biomedical literatureAnnotating the biomedical literature for the human variome.Uncovering protein interaction in abstracts and text using a novel linear model and word proximity networks.Designing Health Websites Based on Users' Web-Based Information-Seeking Behaviors: A Mixed-Method Observational Study.Ontology quality assurance through analysis of term transformations.Literature mining of genetic variants for curation: quantifying the importance of supplementary material.Approaches to verb subcategorization for biomedicine.Roles for text mining in protein function prediction.
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description
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Karin Verspoor
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Karin Verspoor
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Karin Verspoor
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0000-0002-8661-1544