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ORCIDEdwin Simpson
Person information
- affiliation: University of Bristol, Department of Computer Science, UK
- affiliation (2016-2020): TU Darmstadt, Germany
- affiliation (2010-2016, PhD): University of Oxford, UK
- affiliation (2006-2009): Hewlett Packard Laboratories, Bristol, UK
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2020 – today
- 2023
[c19]Yuxuan Ye
, Edwin Simpson:
Towards Abstractive Timeline Summarisation Using Preference-Based Reinforcement Learning. ECAI 2023: 2882-2889- [c18]Ryan Butler, Edwin Simpson:
Developing Image-Based Classification Techniques to Analyse Customer Behaviour. ICAART (Revised Selected Paper) 2023: 469-491 - [c17]Ryan Butler, Edwin Simpson:
Analysing Customer Behaviour Using Simulated Transactional Data. ICAART (2) 2023: 499-510 - 2022
- [c16]Julia Siekiera, Marius Köppel, Edwin Simpson, Kevin Stowe, Iryna Gurevych, Stefan Kramer:
Ranking Creative Language Characteristics in Small Data Scenarios. ICCC 2022: 136-140 - [i13]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:
Efficient Methods for Natural Language Processing: A Survey. CoRR abs/2209.00099 (2022) - [i12]Yuxuan Ye, Edwin Simpson:
Interactively Learning to Summarise Timelines by Reinforcement Learning. CoRR abs/2211.07596 (2022) - 2021
- [c15]Silviu Paun, Edwin Simpson:
Aggregating and Learning from Multiple Annotators. EACL (Tutorial Abstracts) 2021: 6-9 - [c14]Mohsen Mesgar, Edwin Simpson, Iryna Gurevych:
Improving Factual Consistency Between a Response and Persona Facts. EACL 2021: 549-562 - [c13]Alexandra Uma, Tommaso Fornaciari, Anca Dumitrache, Tristan Miller, Jon Chamberlain, Barbara Plank, Edwin Simpson, Massimo Poesio:
SemEval-2021 Task 12: Learning with Disagreements. SemEval@ACL/IJCNLP 2021: 338-347 - [i11]Nils Dycke, Edwin Simpson, Ilia Kuznetsov, Iryna Gurevych:
Ranking Scientific Papers Using Preference Learning. CoRR abs/2109.01190 (2021) - 2020
- [j7]Edwin D. Simpson:
Statistical Significance Testing for Natural Language Processing. Comput. Linguistics 46(4): 905-908 (2020) - [j6]Edwin Simpson, Iryna Gurevych:
Scalable Bayesian preference learning for crowds. Mach. Learn. 109(4): 689-718 (2020) - [j5]Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych:
Predicting the humorousness of tweets using gaussian process preference learning. Proces. del Leng. Natural 64: 37-44 (2020) - [j4]Edwin Simpson, Yang Gao, Iryna Gurevych:
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation. Trans. Assoc. Comput. Linguistics 8: 759-775 (2020) - [c12]Edwin Simpson, Jonas Pfeiffer, Iryna Gurevych:
Low Resource Sequence Tagging with Weak Labels. AAAI 2020: 8862-8869 - [i10]Mohsen Mesgar, Edwin Simpson, Yue Wang, Iryna Gurevych:
Generating Persona-Consistent Dialogue Responses Using Deep Reinforcement Learning. CoRR abs/2005.00036 (2020) - [i9]Jonas Pfeiffer, Edwin Simpson, Iryna Gurevych:
Low Resource Multi-Task Sequence Tagging - Revisiting Dynamic Conditional Random Fields. CoRR abs/2005.00250 (2020) - [i8]Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych:
OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning. CoRR abs/2008.00853 (2020) - [i7]Julia Siekiera, Marius Köppel, Edwin Simpson, Kevin Stowe, Iryna Gurevych, Stefan Kramer:
Ranking Creative Language Characteristics in Small Data Scenarios. CoRR abs/2010.12613 (2020)
2010 – 2019
- 2019
- [c11]Edwin Simpson, Erik-Lân Do Dinh, Tristan Miller, Iryna Gurevych:
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning. ACL (1) 2019: 5716-5728 - [c10]Edwin Simpson, Iryna Gurevych:
A Bayesian Approach for Sequence Tagging with Crowds. EMNLP/IJCNLP (1) 2019: 1093-1104 - [c9]Steffen Eger, Gözde Gül Sahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych:
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. NAACL-HLT (1) 2019: 1634-1647 - [c8]Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych:
OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning. IberLEF@SEPLN 2019: 180-190 - [i6]Steffen Eger, Gözde Gül Sahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych:
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. CoRR abs/1903.11508 (2019) - [i5]Edwin Simpson, Steven Reece, Stephen J. Roberts:
Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources. CoRR abs/1904.03063 (2019) - [i4]Edwin Simpson, Yang Gao, Iryna Gurevych:
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation. CoRR abs/1911.10183 (2019) - [i3]Edwin Simpson, Iryna Gurevych:
Scalable Bayesian Preference Learning for Crowds. CoRR abs/1912.01987 (2019) - 2018
- [j3]Edwin Simpson, Iryna Gurevych:
Finding Convincing Arguments Using Scalable Bayesian Preference Learning. Trans. Assoc. Comput. Linguistics 6: 357-371 (2018) - [i2]Edwin Simpson, Iryna Gurevych:
Finding Convincing Arguments Using Scalable Bayesian Preference Learning. CoRR abs/1806.02418 (2018) - [i1]Edwin Simpson, Iryna Gurevych:
Bayesian Ensembles of Crowds and Deep Learners for Sequence Tagging. CoRR abs/1811.00780 (2018) - 2017
- [c7]Iryna Gurevych, Christian M. Meyer, Carsten Binnig, Johannes Fürnkranz, Kristian Kersting, Stefan Roth, Edwin Simpson:
Interactive Data Analytics for the Humanities. CICLing (1) 2017: 527-549 - [c6]Edwin Simpson, Steven Reece, Stephen J. Roberts:
Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources. ECML/PKDD (2) 2017: 109-125 - 2016
- [j2]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:
A Disaster Response System based on Human-Agent Collectives. J. Artif. Intell. Res. 57: 661-708 (2016) - 2015
- [c5]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:
HAC-ER: A Disaster Response System based on Human-Agent Collectives. AAMAS 2015: 533-541 - [c4]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:
HAC-ER: A Disaster Response System based on Human-Agent Collectives. AAMAS 2015: 1921-1922 - [c3]Edwin Simpson, Matteo Venanzi, Steven Reece, Pushmeet Kohli, John Guiver, Stephen J. Roberts, Nicholas R. Jennings:
Language Understanding in the Wild: Combining Crowdsourcing and Machine Learning. WWW 2015: 992-1002 - [p2]Edwin Simpson, Stephen J. Roberts:
Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems. Decision Making 2015: 1-32 - 2013
- [p1]Edwin Simpson, Stephen J. Roberts, Ioannis Psorakis, Arfon M. Smith:
Dynamic Bayesian Combination of Multiple Imperfect Classifiers. Decision Making and Imperfection 2013: 1-35 - 2012
- [c2]Edwin Simpson, Steven Reece, Antonio Penta, Sarvapali D. Ramchurn:
Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses. TREC 2012
2000 – 2009
- 2009
- [j1]John S. Erickson, Michael Rhodes, Susan Spence, David Banks, James Rutherford, Edwin Simpson, Guillaume Belrose, Russell Perry:
Content-Centered Collaboration Spaces in the Cloud. IEEE Internet Comput. 13(5): 34-42 (2009) - 2008
- [c1]Edwin Simpson:
Clustering Tags in Enterprise and Web Folksonomies. ICWSM 2008
Coauthor Index
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