papers

Publications (29)

cs.CL2023

Efficient Methods for Natural Language Processing: A Survey

Marcos Treviso, Ji-Ung Lee, Tianchu Ji +19

cs.CL2020

Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation

Edwin Simpson, Yang Gao, Iryna Gurevych

cs.CV2024

Automated Radiology Report Generation: A Review of Recent Advances

Phillip Sloan, Philip Clatworthy, Edwin Simpson +1

cs.CL2025

How well can LLMs Grade Essays in Arabic?

Rayed Ghazawi, Edwin Simpson

cs.CL2021

Improving Factual Consistency Between a Response and Persona Facts

Mohsen Mesgar, Edwin Simpson, Iryna Gurevych

cs.CL2026

As Easy as Rocket Science: Assessing the Ability of Large Language Models to Interpret Negation in Figurative Language

Jasmine Owers, Edwin Simpson, Martha Lewis

cs.CL2026

Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics

Yuxuan Ye, Raul Santos-Rodriguez, Edwin Simpson

cs.AI2024

Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification

Christos Constantinou, Georgios Ioannides, Aman Chadha +2

cs.CL2019

A Bayesian Approach for Sequence Tagging with Crowds

Edwin Simpson, Iryna Gurevych

cs.CL2022

Assisting Decision Making in Scholarly Peer Review: A Preference Learning Perspective

Nils Dycke, Edwin Simpson, Ilia Kuznetsov +1

math.ST2012

Dynamic Bayesian Combination of Multiple Imperfect Classifiers

Edwin Simpson, Stephen Roberts, Ioannis Psorakis +1

cs.CV2025

8-Calves Image dataset

Xuyang Fang, Sion Hannuna, Neill Campbell +1

cs.CL2026

Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies

Yuxuan Ye, Raul Santos-Rodriguez, Edwin Simpson

cs.CL2021

Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning

Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson +1

cs.LG2019

Scalable Bayesian Preference Learning for Crowds

Edwin Simpson, Iryna Gurevych

cs.CL2024

Using Similarity to Evaluate Factual Consistency in Summaries

Yuxuan Ye, Edwin Simpson, Raul Santos Rodriguez

eess.IV2025

Clinically-aligned Multi-modal Chest X-ray Classification

Phillip Sloan, Edwin Simpson, Majid Mirmehdi

cs.LG2023

Towards Abstractive Timeline Summarisation using Preference-based Reinforcement Learning

Yuxuan Ye, Edwin Simpson

cs.CV2026

Self-Supervised Animal Identification for Long Videos

Xuyang Fang, Sion Hannuna, Edwin Simpson +1

cs.CL2024

Automated essay scoring in Arabic: a dataset and analysis of a BERT-based system

Rayed Ghazawi, Edwin Simpson

cs.CL2020

Ranking Creative Language Characteristics in Small Data Scenarios

Julia Siekiera, Marius Köppel, Edwin Simpson +3

cs.LG2025

Machine Learning for Climate Policy: Understanding Policy Progression in the European Green Deal

Patricia West, Michelle WL Wan, Alexander Hepburn +3

cs.CL2018

Finding Convincing Arguments Using Scalable Bayesian Preference Learning

Edwin Simpson, Iryna Gurevych

astro-ph.IM2015

Space Warps: I. Crowd-sourcing the Discovery of Gravitational Lenses

Philip J. Marshall, Aprajita Verma, Anupreeta More +20

cs.CL2020

Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems

Steffen Eger, Gözde Gül Şahin, Andreas Rücklé +6

cs.LG2019

Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources

Edwin Simpson, Steven Reece, Stephen J. Roberts

cs.CL2026

Efficient Financial Language Understanding via Distillation with Synthetic Data

Wen-Fong, Huang, Edwin Simpson

cs.SI2024

Medfluencer: A Network Representation of Medical Influencers' Identities and Discourse on Social Media

Zhijin Guo, Edwin Simpson, Roberta Bernardi

cs.CL2020

Low Resource Multi-Task Sequence Tagging -- Revisiting Dynamic Conditional Random Fields

Jonas Pfeiffer, Edwin Simpson, Iryna Gurevych