Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy

1 code implementation • Findings (ACL) 2021 • Vanessa Lopez, Nagesh Yadav, Gabriele Picco, Inge Vejsbjerg, Eoin Carrol, Seamus Brady, Marco Luca Sbodio, Lam Thanh Hoang, Miao Wei, John Segrave

Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery

1 code implementation • 22 Jun 2023 • Hoang Thanh Lam, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Víctor Valls, Gabriele Picco, Cesar Berrospi Ramis, Vanessa López

Recent research on predicting the binding affinity between drug molecules and proteins use representations learned, through unsupervised learning techniques, from large databases of molecule SMILES and protein sequences.

Drug Discovery Graph Representation Learning +1

Neural Unification for Logic Reasoning over Natural Language

1 code implementation • Findings (EMNLP) 2021 • Gabriele Picco, Hoang Thanh Lam, Marco Luca Sbodio, Vanessa Lopez Garcia

The RuleTaker approach of (Clark et al., 2020) achieves appealing results both in terms of accuracy and in the ability to generalize, showing that when the model is trained with deep enough queries (at least 3 inference steps), the transformers are able to correctly answer the majority of queries (97. 6%) that require up to 5 inference steps.

Automated Theorem Proving Question Answering