Meta learning with language models: Challenges and opportunities in the classification of imbalanced text

1 code implementation • 23 Oct 2023 • Apostol Vassilev, Honglan Jin, Munawar Hasan

Detecting out of policy speech (OOPS) content is important but difficult.

Meta-Learning

Evaluating the Social Impact of Generative AI Systems in Systems and Society

no code implementations • 9 Jun 2023 • Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan Baker, Su Lin Blodgett, Hal Daumé III, Jesse Dodge, Ellie Evans, Sara Hooker, Yacine Jernite, Alexandra Sasha Luccioni, Alberto Lusoli, Margaret Mitchell, Jessica Newman, Marie-Therese Png, Andrew Strait, Apostol Vassilev

We move toward a standard approach in evaluating a generative AI system for any modality, in two overarching categories: what is able to be evaluated in a base system that has no predetermined application and what is able to be evaluated in society.

Can you tell? SSNet -- a Sagittal Stratum-inspired Neural Network Framework for Sentiment Analysis

1 code implementation • 23 Jun 2020 • Apostol Vassilev, Munawar Hasan, Honglan Jin

When people try to understand nuanced language they typically process multiple input sensor modalities to complete this cognitive task.

Sentiment Analysis

BowTie - A deep learning feedforward neural network for sentiment analysis

no code implementations • 18 Apr 2019 • Apostol Vassilev

How to model and encode the semantics of human-written text and select the type of neural network to process it are not settled issues in sentiment analysis.

Sentiment Analysis