Search Results for author: Oskar Wysocki

Found 8 papers, 1 papers with code

Large Language Models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery

no code implementations28 May 2023 Magdalena Wysocka, Oskar Wysocki, Maxime Delmas, Vincent Mutel, Andre Freitas

The results show that while LLMs are currently not fit for purpose to be used as biomedical factual knowledge bases, there is a promising emerging property in the direction of factuality as the models become domain specialised, scale-up in size and level of human feedback.


On the Visualisation of Argumentation Graphs to Support Text Interpretation

no code implementations6 Mar 2023 Hanadi Mardah, Oskar Wysocki, Markel Vigo, Andre Freitas

Therefore, AGs were considered to deliver a more critical approach to argument interpretation, especially with unfamiliar topics.

A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data

no code implementations2 Jul 2022 Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, Dónal Landers, André Freitas

We discuss the recent evolutionary arch of DL models in the direction of integrating prior biological relational and network knowledge to support better generalisation (e. g. pathways or Protein-Protein-Interaction networks) and interpretability.

Metareview-informed Explainable Cytokine Storm Detection during CAR-T cell Therapy

no code implementations20 Jun 2022 Alex Bogatu, Magdalena Wysocka, Oskar Wysocki, Holly Butterworth, Donal Landers, Elaine Kilgour, Andre Freitas

Cytokine release syndrome (CRS), also known as cytokine storm, is one of the most consequential adverse effects of chimeric antigen receptor therapies that have shown promising results in cancer treatment.

Transformers and the representation of biomedical background knowledge

no code implementations4 Feb 2022 Oskar Wysocki, Zili Zhou, Paul O'Regan, Deborah Ferreira, Magdalena Wysocka, Dónal Landers, André Freitas

Specialised transformers-based models (such as BioBERT and BioMegatron) are adapted for the biomedical domain based on publicly available biomedical corpora.

Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems

no code implementations16 Jul 2021 Oskar Wysocki, Malina Florea, Donal Landers, Andre Freitas

This paper proposes a novel statistical corpus analysis framework targeted towards the interpretation of Natural Language Processing (NLP) architectural patterns at scale.

What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP

no code implementations EMNLP (Eval4NLP) 2021 Oskar Wysocki, Malina Florea, Andre Freitas

SemEval is the primary venue in the NLP community for the proposal of new challenges and for the systematic empirical evaluation of NLP systems.

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