Edwin Simpson

According to our database, Edwin Simpson authored at least 40 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Using Similarity to Evaluate Factual Consistency in Summaries.

Yuxuan Ye, Edwin Simpson, Raúl Santos-Rodríguez

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

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

Rayed Ghazawi, Edwin Simpson

CoRR, 2024

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

Zhijin Guo, Edwin Simpson, Roberta Bernardi

CoRR, 2024

Automated Radiology Report Generation: A Review of Recent Advances.

Phillip Sloan, Philip Clatworthy, Edwin Simpson, Majid Mirmehdi

CoRR, 2024

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, Jessica Zosa Forde, Peter A. Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, Roy Schwartz

Trans. Assoc. Comput. Linguistics, 2023

Developing Image-Based Classification Techniques to Analyse Customer Behaviour.

Ryan Butler, Edwin Simpson

Proceedings of the Agents and Artificial Intelligence - 15th International Conference, 2023

Analysing Customer Behaviour Using Simulated Transactional Data.

Ryan Butler, Edwin Simpson

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Towards Abstractive Timeline Summarisation Using Preference-Based Reinforcement Learning.

Yuxuan Ye, Edwin Simpson

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Interactively Learning to Summarise Timelines by Reinforcement Learning.

Yuxuan Ye, Edwin Simpson

CoRR, 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, Colin Raffel, Edwin Simpson, Noam Slonim, Niranjan Balasubramanian, Leon Derczynski, Roy Schwartz

CoRR, 2022

Ranking Creative Language Characteristics in Small Data Scenarios.

Julia Siekiera, Marius Köppel, Edwin Simpson, Kevin Stowe, Iryna Gurevych, Stefan Kramer

Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022

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

Dataset, July, 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 Uma, Tommaso Fornaciari, Anca Dumitrache, Tristan Miller, Jon Chamberlain, Barbara Plank, Edwin Simpson, Massimo Poesio

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Aggregating and Learning from Multiple Annotators.

Silviu Paun, Edwin Simpson

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts, 2021

Improving Factual Consistency Between a Response and Persona Facts.

Mohsen Mesgar, Edwin Simpson, Iryna Gurevych

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

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

Edwin Simpson, Yang Gao, Iryna Gurevych

Trans. Assoc. Comput. Linguistics, 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

Scalable Bayesian preference learning for crowds.

Edwin Simpson, Iryna Gurevych

Mach. Learn., 2020

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

Jonas Pfeiffer, Edwin Simpson, Iryna Gurevych

CoRR, 2020

Generating Persona-Consistent Dialogue Responses Using Deep Reinforcement Learning.

Mohsen Mesgar, Edwin Simpson, Yue Wang, Iryna Gurevych

CoRR, 2020

Statistical Significance Testing for Natural Language Processing.

Edwin D. Simpson

Comput. Linguistics, 2020

Low Resource Sequence Tagging with Weak Labels.

Edwin Simpson, Jonas Pfeiffer, Iryna Gurevych

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019

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

Steffen Eger, Gözde Gül Sahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Bayesian Approach for Sequence Tagging with Crowds.

Edwin Simpson, Iryna Gurevych

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning.

Edwin Simpson, Erik-Lân Do Dinh, Tristan Miller, Iryna Gurevych

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Finding Convincing Arguments Using Scalable Bayesian Preference Learning.

Edwin Simpson, Iryna Gurevych

Trans. Assoc. Comput. Linguistics, 2018

Bayesian Ensembles of Crowds and Deep Learners for Sequence Tagging.

Edwin Simpson, Iryna Gurevych

CoRR, 2018

2017

Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources.

Edwin Simpson, Steven Reece, Stephen J. Roberts

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Interactive Data Analytics for the Humanities.

Iryna Gurevych, Christian M. Meyer, Carsten Binnig, Johannes Fürnkranz, Kristian Kersting, Stefan Roth, Edwin Simpson

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

2016

A Disaster Response System based on Human-Agent Collectives.

Sarvapali D. Ramchurn, Trung Dong Huynh, Feng Wu, Yuki Ikuno, Jack Flann, Luc Moreau, Joel E. Fischer, Wenchao Jiang, Tom Rodden, Edwin Simpson, Steven Reece, Stephen J. Roberts, Nicholas R. Jennings

J. Artif. Intell. Res., 2016

2015

Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems.

Edwin Simpson, Stephen J. Roberts

Proceedings of the Decision Making: Uncertainty, Imperfection, 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

Proceedings of the 24th International Conference on World Wide Web, 2015

HAC-ER: A Disaster Response System based on Human-Agent Collectives.

Sarvapali D. Ramchurn, Trung Dong Huynh, Yuki Ikuno, Jack Flann, Feng Wu, Luc Moreau, Nicholas R. Jennings, Joel E. Fischer, Wenchao Jiang, Tom Rodden, Edwin Simpson, Steven Reece, Stephen J. Roberts

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2013

Dynamic Bayesian Combination of Multiple Imperfect Classifiers.

Edwin Simpson, Stephen J. Roberts, Ioannis Psorakis, Arfon M. Smith

Proceedings of the Decision Making and Imperfection, 2013

2012

Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses.

Edwin Simpson, Steven Reece, Antonio Penta, Sarvapali D. Ramchurn

Proceedings of The Twenty-First Text REtrieval Conference, 2012

2009

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

2008

Clustering Tags in Enterprise and Web Folksonomies.

Edwin Simpson

Proceedings of the Second International Conference on Weblogs and Social Media, 2008