NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports

2 code implementations • 5 May 2023 • Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas

In this work, we present a novel resource to advance research on NLI for reasoning on CTRs.

Natural Language Inference

SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data

no code implementations • 4 May 2023 • Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas

This paper describes the results of SemEval 2023 task 7 -- Multi-Evidence Natural Language Inference for Clinical Trial Data (NLI4CT) -- consisting of 2 tasks, a Natural Language Inference (NLI) task, and an evidence selection task on clinical trial data.

Evidence Selection Natural Language Inference +2

Transformers and the representation of biomedical background knowledge

no code implementations • 4 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.