What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP. - Oskar Wysocki; Malina Florea; Dónal Landers; André Freitas (Eval4NLP, 2021)

Encoding Explanatory Knowledge for Zero-shot Science Question Answering. - Zili Zhou; Marco Valentino; Donal Landers; André Freitas (CoRR, 2021)

Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems. - Oskar Wysocki; Malina Florea; Donal Landers; André Freitas (CoRR, 2021)

Metareview-informed Explainable Cytokine Storm Detection during CAR-T cell Therapy. - Alex Bogatu; Magdalena Wysocka; Oskar Wysocki; Holly Butterworth; Donal Landers; Elaine Kilgour; André Freitas (CoRR, 2022)

Biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data. - Magdalena Wysocka; Oskar Wysocki; Marie Zufferey; Dónal Landers; André Freitas (CoRR, 2022)

Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives. - Alex Bogatu; Zili Zhou; Dónal Landers; André Freitas (CoRR, 2022)

NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports. - Maël Jullien; Marco Valentino; Hannah Frost; Paul O'Regan; Dónal Landers; André Freitas (EMNLP, 2023)

SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data. - Maël Jullien; Marco Valentino; Hannah Frost; Paul O'Regan; Donal Landers; André Freitas (SemEval@ACL, 2023)

Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making. - Oskar Wysocki; Jessica Katharine Davies; Markel Vigo; Anne Caroline Armstrong; Dónal Landers; Rebecca Lee; André Freitas (Artif. Intell., 2023)

Transformers and the Representation of Biomedical Background Knowledge. - Oskar Wysocki; Zili Zhou; Paul O'Regan; Deborah Ferreira; Magdalena Wysocka; Dónal Landers; André Freitas (Comput. Linguistics, 2023)

Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy. - Alex Bogatu; Magdalena Wysocka; Oskar Wysocki; Holly Butterworth; Manon Pillai; Jennifer Allison; Dónal Landers; Elaine Kilgour; Fiona Thistlethwaite; André Freitas (J. Biomed. Informatics, 2023)

A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data. - Magdalena Wysocka; Oskar Wysocki; Marie Zufferey; Dónal Landers; André Freitas (BMC Bioinform., 2023)

Translating the machine; An assessment of clinician understanding of ophthalmological artificial intelligence outputs. - Oskar Wysocki; Sammie Mak; Hannah Frost; Donna M. Graham; Dónal Landers; Tariq Aslam (Int. J. Medical Informatics, 2025)