research
∙
10/16/2020
Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification
The majority of work in targeted sentiment analysis has concentrated on ...
share
research
∙
06/28/2019
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
We present FIESTA, a model selection approach that significantly reduces...
research
∙
06/13/2018
Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis
Lack of repeatability and generalisability are two significant threats t...
research
∙
05/01/2017
Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter: predicting sentiment from financial news headlines
This paper describes our participation in Task 5 track 2 of SemEval 2017...
research
∙
01/16/2013
The Anchors Hierachy: Using the triangle inequality to survive high dimensional data
This paper is about metric data structures in high-dimensional or non-Eu...
research
∙
01/16/2013
Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks With Mixed Continuous And Discrete Variables
Recently developed techniques have made it possible to quickly learn acc...
research
∙
12/12/2012
Real-valued All-Dimensions search: Low-overhead rapid searching over subsets of attributes
This paper is about searching the combinatorial space of contingency tab...
research
∙
12/12/2012