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Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification


Oct 16, 2020
Andrew Moore, Jeremy Barnes


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FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms


Jun 28, 2019
Henry B. Moss, Andrew Moore, David S. Leslie, Paul Rayson

* ACL 2019. Code available at: https://github.com/apmoore1/fiesta 

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Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis


Aug 06, 2018
Andrew Moore, Paul Rayson

* COLING 2018. Code available at: https://github.com/apmoore1/Bella 

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Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter: predicting sentiment from financial news headlines


May 01, 2017
Andrew Moore, Paul Rayson

* 5 pages, to Appear in the Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval 2017), August 2017, Vancouver, BC 

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The Anchors Hierachy: Using the triangle inequality to survive high dimensional data


Jan 16, 2013
Andrew Moore

* Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000) 

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Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks With Mixed Continuous And Discrete Variables


Jan 16, 2013
Scott Davies, Andrew Moore

* Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000) 

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Real-valued All-Dimensions search: Low-overhead rapid searching over subsets of attributes


Dec 12, 2012
Andrew Moore, Jeff Schneider

* Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002) 

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Interpolating Conditional Density Trees


Dec 12, 2012
Scott Davies, Andrew Moore

* Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002) 

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