collaborators

7 papers

cs.CL2026

OncoNoteBERT: A Foundation Representation Model for Natural Language Processing of Real-World Outpatient Oncology Notes

Wuraola Oyewusi, Eliana Vasquez Osorio, Goran Nenadic +1

Real-world outpatient oncology notes contain specialised terminology, tumour staging expressions, treatment names, toxicity descriptions, and institution-specific de-identification…

cs.CL2026

The BD-LSC Dataset: Facilitating the Benchmarking of Models for Lexical Semantic Change Detection in Slang and Standard Usage

Afnan Aloraini, Viktor Schlegel, Goran Nenadic +1

Automatic semantic change detection aims to identify how word meanings shift over time, offering insights into both linguistic and societal change. Despite recent progress in compu…

cs.CL2025

Structured Information Matters: Explainable ICD Coding with Patient-Level Knowledge Graphs

Mingyang Li, Viktor Schlegel, Tingting Mu +2

Mapping clinical documents to standardised clinical vocabularies is an important task, as it provides structured data for information retrieval and analysis, which is essential to…

cs.AI2025

SynBench: A Benchmark for Differentially Private Text Generation

Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar +9

Synthetic text generation with Differential Privacy (DP) guarantees emerges as a principled approach that can enable the sharing of sensitive datasets across institutional and regu…

cs.CL2025

Privacy-Preserving Generation of Clinical Narratives from Medical Terminologies

Yuping Wu, Viktor Schlegel, Warren Del-Pinto +11

In high-stakes domains such as healthcare, privacy concerns severely limit the use of real-world training data. Differentially private (DP) synthetic data offers a promising altern…

cs.LG2025

Evaluating Differentially Private Generation of Domain-Specific Text

Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar +7

Generative AI offers transformative potential for high-stakes domains such as healthcare and finance, yet privacy and regulatory barriers hinder the use of real-world data. To addr…

cs.AI2025

Evaluation and LLM-Guided Learning of ICD Coding Rationales

Mingyang Li, Viktor Schlegel, Tingting Mu +3

ICD coding is the process of mapping unstructured text from Electronic Health Records (EHRs) to standardised codes defined by the International Classification of Diseases (ICD) sys…