Passive-Aggressive Sequence Labeling with Discriminative Post-Editing for Recognising Person Entities in Tweets

Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling

Online learning methods, like the seminal Passive-Aggressive (PA) classifier, are still highly effective for high-dimensional streaming data, out-of-core processing, and other throughput-sensitive applications. Many such…

Confusion-Based Online Learning and a Passive-Aggressive Scheme

This paper provides the first ---to the best of our knowledge--- analysis of online learning algorithms for multiclass problems when the {\em confusion} matrix is taken as a performance measure. The work builds upon rece…

Aggression Detection on Social Media Text Using Deep Neural Networks

In the past few years, bully and aggressive posts on social media have grown significantly, causing serious consequences for victims/users of all demographics. Majority of the work in this field has been done for English…

Online Bayesian Passive-Aggressive Learning

Online Passive-Aggressive (PA) learning is an effective framework for performing max-margin online learning. But the deterministic formulation and estimated single large-margin model could limit its capability in discove…

A Separately Passive-Aggressive Training Algorithm for Joint POS Tagging and Dependency Parsing