Search Results for author: Dietrich Rebholz-Schuhmann

Found 12 papers, 2 papers with code

From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer

no code implementations12 Oct 2023 Md. Rezaul Karim, Lina Molinas Comet, Md Shajalal, Oya Deniz Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker

Domain experts often rely on most recent knowledge for apprehending and disseminating specific biological processes that help them design strategies for developing prevention and therapeutic decision-making in various disease scenarios.

Decision Making Knowledge Graphs +3

A Biomedical Knowledge Graph for Biomarker Discovery in Cancer

no code implementations9 Feb 2023 Md. Rezaul Karim, Lina Molinas Comet, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker

However, exploration and querying large-scale KGs is tedious for certain groups of users due to a lack of knowledge about underlying data assets or semantic technologies.

Data Integration Question Answering

DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images

1 code implementation9 Apr 2020 Md. Rezaul Karim, Till Döhmen, Dietrich Rebholz-Schuhmann, Stefan Decker, Michael Cochez, Oya Beyan

Amid the coronavirus disease(COVID-19) pandemic, humanity experiences a rapid increase in infection numbers across the world.

COVID-19 Diagnosis

Collaboratively Annotating Multilingual Parallel Corpora in the Biomedical Domain---some MANTRAs

no code implementations LREC 2014 Johannes Hellrich, Simon Clematide, Udo Hahn, Dietrich Rebholz-Schuhmann

The coverage of multilingual biomedical resources is high for the English language, yet sparse for non-English languages―an observation which holds for seemingly well-resourced, yet still dramatically low-resourced ones such as Spanish, French or German but even more so for really under-resourced ones such as Dutch.

Named Entity Recognition (NER) Translation

Centroids: Gold standards with distributional variation

no code implementations LREC 2012 Ian Lewin, {\c{S}}enay Kafkas, Dietrich Rebholz-Schuhmann

We define an algorithm for finding centroids, given a set of alternative input annotations and we test the outputs quantitatively and qualitatively.

Named Entity Recognition (NER)

CALBC: Releasing the Final Corpora

no code implementations LREC 2012 {\c{S}}enay Kafkas, Ian Lewin, David Milward, Erik van Mulligen, Jan Kors, Udo Hahn, Dietrich Rebholz-Schuhmann

These usually lead to implementation of trained solutions (1) for a limited number of semantic entity types and (2) lacking in generalization capability.

named-entity-recognition Named Entity Recognition +1

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