Clustering Tags in Enterprise and Web Folksonomies. - Edwin Simpson (ICWSM, 2008)

Content-Centered Collaboration Spaces in the Cloud. - John S. Erickson; Michael Rhodes; Susan Spence; David Banks; James Rutherford; Edwin Simpson; Guillaume Belrose; Russell Perry (IEEE Internet Comput., 2009)

Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses. - Edwin Simpson; Steven Reece; Antonio Penta; Sarvapali D. Ramchurn (TREC, 2012)

Dynamic Bayesian Combination of Multiple Imperfect Classifiers. - Edwin Simpson; Stephen J. Roberts; Ioannis Psorakis; Arfon M. Smith (Decision Making and Imperfection, 2013)

HAC-ER: A Disaster Response System based on Human-Agent Collectives. - Sarvapali D. Ramchurn; Trung Dong Huynh; Yuki Ikuno; Jack Flann; Feng Wu 001; Luc Moreau 001; Nicholas R. Jennings; Joel E. Fischer; Wenchao Jiang; Tom Rodden; Edwin Simpson; Steven Reece; et al. (AAMAS, 2015)

Language Understanding in the Wild: Combining Crowdsourcing and Machine Learning. - Edwin Simpson; Matteo Venanzi; Steven Reece; Pushmeet Kohli; John Guiver; Stephen J. Roberts; Nicholas R. Jennings (WWW, 2015)

Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems. - Edwin Simpson; Stephen J. Roberts (Decision Making, 2015)

A Disaster Response System based on Human-Agent Collectives. - Sarvapali D. Ramchurn; Trung Dong Huynh; Feng Wu 001; Yuki Ikuno; Jack Flann; Luc Moreau 001; Joel E. Fischer; Wenchao Jiang; Tom Rodden; Edwin Simpson; Steven Reece; Stephen J. Roberts; et al. (J. Artif. Intell. Res., 2016)

Interactive Data Analytics for the Humanities. - Iryna Gurevych; Christian M. Meyer; Carsten Binnig; Johannes Fürnkranz; Kristian Kersting; Stefan Roth 001; Edwin Simpson (CICLing (1), 2017)

Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources. - Edwin Simpson; Steven Reece; Stephen J. Roberts (ECML/PKDD (2), 2017)

Bayesian Ensembles of Crowds and Deep Learners for Sequence Tagging. - Edwin Simpson; Iryna Gurevych (CoRR, 2018)

Finding Convincing Arguments Using Scalable Bayesian Preference Learning. - Edwin Simpson; Iryna Gurevych (Trans. Assoc. Comput. Linguistics, 2018)

Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning. - Edwin Simpson; Erik-Lân Do Dinh; Tristan Miller; Iryna Gurevych (ACL (1), 2019)

A Bayesian Approach for Sequence Tagging with Crowds. - Edwin Simpson; Iryna Gurevych (EMNLP/IJCNLP (1), 2019)

Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. - Steffen Eger; Gözde Gül Sahin; Andreas Rücklé; Ji-Ung Lee; Claudia Schulz 001; Mohsen Mesgar; Krishnkant Swarnkar; Edwin Simpson; Iryna Gurevych (NAACL-HLT (1), 2019)

OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning. - Tristan Miller; Erik-Lân Do Dinh; Edwin Simpson; Iryna Gurevych (IberLEF@SEPLN, 2019)

Low Resource Sequence Tagging with Weak Labels. - Edwin Simpson; Jonas Pfeiffer; Iryna Gurevych (AAAI, 2020)

Statistical Significance Testing for Natural Language Processing. - Edwin D. Simpson (Comput. Linguistics, 2020)

Generating Persona-Consistent Dialogue Responses Using Deep Reinforcement Learning. - Mohsen Mesgar; Edwin Simpson; Yue Wang; Iryna Gurevych (CoRR, 2020)

Low Resource Multi-Task Sequence Tagging - Revisiting Dynamic Conditional Random Fields. - Jonas Pfeiffer; Edwin Simpson; Iryna Gurevych (CoRR, 2020)

Scalable Bayesian preference learning for crowds. - Edwin Simpson; Iryna Gurevych (Mach. Learn., 2020)

Predicting the humorousness of tweets using gaussian process preference learning. - Tristan Miller; Erik-Lân Do Dinh; Edwin Simpson; Iryna Gurevych (Proces. del Leng. Natural, 2020)

Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation. - Edwin Simpson; Yang Gao 021; Iryna Gurevych (Trans. Assoc. Comput. Linguistics, 2020)

Improving Factual Consistency Between a Response and Persona Facts. - Mohsen Mesgar; Edwin Simpson; Iryna Gurevych (EACL, 2021)

Aggregating and Learning from Multiple Annotators. - Silviu Paun; Edwin Simpson (EACL (Tutorial Abstracts), 2021)

SemEval-2021 Task 12: Learning with Disagreements. - Alexandra Uma; Tommaso Fornaciari; Anca Dumitrache; Tristan Miller; Jon Chamberlain; Barbara Plank; Edwin Simpson; Massimo Poesio (SemEval@ACL/IJCNLP, 2021)

Ranking Scientific Papers Using Preference Learning. - Nils Dycke; Edwin Simpson; Ilia Kuznetsov; Iryna Gurevych (CoRR, 2021)

SemEval-2021 Task 12: Learning with Disagreements. - Alexandra Nnemamaka Uma; Tommaso Fornaciari; Anca Dumitrache; Tristan Miller; Jon Chamberlain; Barbara Plank; Edwin Simpson; Massimo Poesio (Zenodo, 2021)

Ranking Creative Language Characteristics in Small Data Scenarios. - Julia Siekiera; Marius Köppel; Edwin Simpson; Kevin Stowe; Iryna Gurevych; Stefan Kramer 001 (ICCC, 2022)

Efficient Methods for Natural Language Processing: A Survey. - Marcos V. Treviso; Tianchu Ji; Ji-Ung Lee; Betty van Aken; Qingqing Cao; Manuel R. Ciosici; Michael Hassid; Kenneth Heafield; Sara Hooker; Pedro Henrique Martins; André F. T. Martins; Peter A. Milder; et al. (CoRR, 2022)

Interactively Learning to Summarise Timelines by Reinforcement Learning. - Yuxuan Ye; Edwin Simpson (CoRR, 2022)

Towards Abstractive Timeline Summarisation Using Preference-Based Reinforcement Learning. - Yuxuan Ye; Edwin Simpson (ECAI, 2023)

Analysing Customer Behaviour Using Simulated Transactional Data. - Ryan Butler; Edwin Simpson (ICAART (2), 2023)

Developing Image-Based Classification Techniques to Analyse Customer Behaviour. - Ryan Butler; Edwin Simpson (ICAART (Revised Selected Paper), 2023)

Efficient Methods for Natural Language Processing: A Survey. - Marcos V. Treviso; Ji-Ung Lee; Tianchu Ji; Betty van Aken; Qingqing Cao; Manuel R. Ciosici; Michael Hassid; Kenneth Heafield; Sara Hooker; Colin Raffel; Pedro Henrique Martins; André F. T. Martins; et al. (Trans. Assoc. Comput. Linguistics, 2023)

Automated Radiology Report Generation: A Review of Recent Advances. - Phillip Sloan; Philip Clatworthy; Edwin Simpson; Majid Mirmehdi (CoRR, 2024)

Medfluencer: A Network Representation of Medical Influencers' Identities and Discourse on Social Media. - Zhijin Guo; Edwin Simpson; Roberta Bernardi (CoRR, 2024)

Automated essay scoring in Arabic: a dataset and analysis of a BERT-based system. - Rayed Ghazawi; Edwin Simpson (CoRR, 2024)

Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification. - Christos Constantinou; Georgios Ioannides; Aman Chadha; Aaron Elkins; Edwin Simpson (CoRR, 2024)

Using Similarity to Evaluate Factual Consistency in Summaries. - Yuxuan Ye; Edwin Simpson; Raúl Santos-Rodríguez (CoRR, 2024)

How well can LLMs Grade Essays in Arabic? - Rayed Ghazawi; Edwin Simpson (CoRR, 2025)