Biomedical Information Extraction for Disease Gene Prioritization

no code implementations • 10 Nov 2020 • Jupinder Parmar, William Koehler, Martin Bringmann, Katharina Sophia Volz, Berk Kapicioglu

We introduce a biomedical information extraction (IE) pipeline that extracts biological relationships from text and demonstrate that its components, such as named entity recognition (NER) and relation extraction (RE), outperform state-of-the-art in BioNLP.

named-entity-recognition Named Entity Recognition +2

Relation-weighted Link Prediction for Disease Gene Identification

no code implementations • 10 Nov 2020 • Srivamshi Pittala, William Koehler, Jonathan Deans, Daniel Salinas, Martin Bringmann, Katharina Sophia Volz, Berk Kapicioglu

Identification of disease genes, which are a set of genes associated with a disease, plays an important role in understanding and curing diseases.

Graph Representation Learning Link Prediction +1

Chess2vec: Learning Vector Representations for Chess

no code implementations • 2 Nov 2020 • Berk Kapicioglu, Ramiz Iqbal, Tarik Koc, Louis Nicolas Andre, Katharina Sophia Volz

We conduct the first study of its kind to generate and evaluate vector representations for chess pieces.