Search Results for author: Shivashankar Subramanian

Found 10 papers, 4 papers with code

Popularity Prediction of Online Petitions using a Multimodal DeepRegression Model

no code implementations ALTA 2020 Kotaro Kitayama, Shivashankar Subramanian, Timothy Baldwin

Online petitions offer a mechanism for peopleto initiate a request for change and gather sup-port from others to demonstrate support for thecause.

Fairness-aware Class Imbalanced Learning

no code implementations EMNLP 2021 Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann

Class imbalance is a common challenge in many NLP tasks, and has clear connections to bias, in that bias in training data often leads to higher accuracy for majority groups at the expense of minority groups.

Fairness Long-tail Learning

Deep Ordinal Regression for Pledge Specificity Prediction

1 code implementation IJCNLP 2019 Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin

Many pledges are made in the course of an election campaign, forming important corpora for political analysis of campaign strategy and governmental accountability.

regression Specificity

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