43 citations · 59 across the 3 of their papers we have counts for
3 papers
TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of Clinical Trials
Christopher Yacoumatos, Stefano Bragaglia, Anshul Kanakia +6
A major impediment to successful drug development is the complexity, cost, and scale of clinical trials. The detailed internal structure of clinical trial data can make conventiona…
Named Entity Disambiguation using Deep Learning on Graphs
Alberto Cetoli, Mohammad Akbari, Stefano Bragaglia +2
We tackle \ac{NED} by comparing entities in short sentences with \wikidata{} graphs. Creating a context vector from graphs through deep learning is a challenging problem that has n…
Graph Convolutional Networks for Named Entity Recognition
A. Cetoli, S. Bragaglia, A. D. O'Harney +1
In this paper we investigate the role of the dependency tree in a named entity recognizer upon using a set of GCN. We perform a comparison among different NER architectures and sho…