activity
20212025
most citedOverview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles

12 citations · 23 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2025

TVS Sidekick: Challenges and Practical Insights from Deploying Large Language Models in the Enterprise

Paula Reyero Lobo, Kevin Johnson, Bill Buchanan +3

Many enterprises are increasingly adopting Artificial Intelligence (AI) to make internal processes more competitive and efficient. In response to public concern and new regulations…

cs.CL2024

Simple is not Enough: Document-level Text Simplification using Readability and Coherence

Laura Vásquez-Rodríguez, Nhung T. H. Nguyen, Piotr Przybyła +2

In this paper, we present the SimDoc system, a simplification model considering simplicity, readability, and discourse aspects, such as coherence. In the past decade, the progress…

cs.CL2024★ 1 cited

Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles

Tomas Goldsack, Carolina Scarton, Matthew Shardlow +1

This paper presents the setup and results of the second edition of the BioLaySumm shared task on the Lay Summarisation of Biomedical Research Articles, hosted at the BioNLP Worksho…

cs.CL2023★ 12 cited

Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles

Tomas Goldsack, Zheheng Luo, Qianqian Xie +4

This paper presents the results of the shared task on Lay Summarisation of Biomedical Research Articles (BioLaySumm), hosted at the BioNLP Workshop at ACL 2023. The goal of this sh…

cs.CL2022★ 10 cited

Deanthropomorphising NLP: Can a Language Model Be Conscious?

Matthew Shardlow, Piotr Przybyła

This work is intended as a voice in the discussion over previous claims that a pretrained large language model (LLM) based on the Transformer model architecture can be sentient. Su…

cs.CL2021

Investigating Text Simplification Evaluation

Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyła +1

Modern text simplification (TS) heavily relies on the availability of gold standard data to build machine learning models. However, existing studies show that parallel TS corpora c…

cs.SE2021

Towards a corpus for credibility assessment in software practitioner blog articles

Ashley Williams, Matthew Shardlow, Austen Rainer

Blogs are a source of grey literature which are widely adopted by software practitioners for disseminating opinion and experience. Analysing such articles can provide useful insigh…