A5026395701- Semantic Web and Ontologies
- Biomedical Text Mining and Ontologies
- Genomics and Phylogenetic Studies
- Network Security and Intrusion Detection
- Bioinformatics and Genomic Networks
- Natural Language Processing Techniques
Ruhr University Bochum
2025
Boğaziçi University
2016-2018
The Precision Medicine Initiative is a multicenter effort aiming at formulating personalized treatments leveraging on individual patient data (clinical, genome sequence and functional genomic data) together with the information in large knowledge bases (KBs) that integrate annotation, disease association studies, electronic health records other types. biomedical literature provides rich foundation for populating these KBs, reporting genetic molecular interactions provide scaffold cellular...
Abstract Among the news items circulating in social media, only some contain factual statements, and claims can be differentiated by their check-worthiness. We describe check-worthiness annotation of a novel corpus obtained from real-world submissions to German fact-checking organization: Crowd Claims (GCC) corpus. iteratively adapted existing guidelines, introducing category incident/event third level for statements. Exploratory analysis 35 linguistic surface-level features highlights...
BioC is a simple XML format for text, annotations and relations, was developed to achieve interoperability biomedical text processing. Following the success of in BioCreative IV, V track addressed collaborative task build an assistant system BioGRID curation. In this paper, we describe framework discuss our findings based on user survey. This consisted eight subtasks including gene/protein/organism named entity recognition, protein–protein/genetic interaction passage identification...
Information regarding the physical interactions among proteins is crucial, since protein–protein (PPIs) are central for many biological processes. The experimental techniques used to verify PPIs vital characterizing and assessing reliability of identified PPIs. A lot information about methods only available in text scientific publications that report them. In this study, we approach problem identifying passages with between as an retrieval search task. baseline system based on query...
We propose an ontology enhanced model for sentence based claim detection. fused embeddings from a knowledge base with BERT to perform detection the ClaimBuster and NewsClaims datasets. Our approach showed best results these small-sized unbalanced datasets, compared other statistical neural machine learning models. The experiments demonstrate that adding domain specific features (either trained word or graph metadata) can improve traditional ML methods. In addition, in form of helps avoid...