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BIT101-D204: Large-scale Semantic Indexing with Biomedical Ontologies |
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BIT102: One tagger, many uses: Illustrating the power of ontologies in dictionary-based named entity recognition |
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BIT103: Scalable Text Mining Assisted Curation of PTM Proteoforms in the Protein Ontology |
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BIT104: Cardiovascular Health and Physical Activity: A Model for Health Promotion and Decision Support Ontologies |
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BIT105: A Web Application for Extracting Key Domain Information for Scientific Publications using Ontology |
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BIT106: Use of text mining for Experimental Factor Ontology coverage expansion in the scope of target validation |
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BP01: Ignet: A centrality and INO-based web system for analyzing and visualizing literature-mined networks |
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BP02: Disease Named Entity Recognition Using NCBI Corpus |
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BP03: Label Embedding Approach for Transfer Learning |
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BT101: SourceData: Making Data discoverable |
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BT102: Cycles of Scientific Investigation in Discourse - Machine Reading Methods for the Primary Research Contributions of a Paper |
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BT103: Collaborative Workspaces for Pathway Curation |
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BT104: Crowdsourcing Protein Family Database Curation |
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BT105: Opportunities and challenges presented by Wikidata in the context of biocuration |
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BT201: Text mining to enable routine personalized cancer therapy |
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BT202: Social Media Mining for Pharmacovigilance |
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BT203: MutD – A PubMed Scale Resource for Protein Mutation-Disease Relations through Bio-Medical Literature Mining |
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BT204: CancerMine: Knowledge base construction for personalised cancer treatment |
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BT205: Text Mining for Drug Development: Gathering Insights to Support Decision Making |
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BT301: NLP for the Institute: Developing and Deploying an NLP Capability to Accelerate Cancer Research |
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BT302: Annotations for biomedical research and healthcare – Bridging the gap |
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BT303: PubAnnotation: a public shared platform for scientific literature annotation. |
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BT304: BioCconvert: A Conversion Tool Between BioC and PubAnnotation |
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D101: Plant Image Segmentation and Annotation with Ontologies in BisQue |
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D102: SPARQL2OWL: towards bridging the semantic gap between RDF and OWL |
