Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models

1 code implementation • 21 Jan 2023 • Anoop Kadan, Deepak P., Sahely Bhadra, Manjary P. Gangan, Lajish V. L

Groundbreaking inventions and highly significant performance improvements in deep learning based Natural Language Processing are witnessed through the development of transformer based large Pre-trained Language Models (PLMs).

Self-Supervised Learning Text Generation

REDAffectiveLM: Leveraging Affect Enriched Embedding and Transformer-based Neural Language Model for Readers' Emotion Detection

1 code implementation • 21 Jan 2023 • Anoop Kadan, Deepak P., Manjary P. Gangan, Savitha Sam Abraham, Lajish V. L

Towards this, we leverage context-specific and affect enriched representations by using a transformer-based pre-trained language model in tandem with affect enriched Bi-LSTM+Attention.

4k Language Modelling

Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias

1 code implementation • 21 Apr 2022 • Anoop K., Manjary P. Gangan, Deepak P., Lajish V. L

The remarkable progress in Natural Language Processing (NLP) brought about by deep learning, particularly with the recent advent of large pre-trained neural language models, is brought into scrutiny as several studies began to discuss and report potential biases in NLP applications.

A Framework for On-Line Devanagari Handwritten Character Recognition

no code implementations • 25 Oct 2014 • Sunil Kumar Kopparapu, Lajish V. L

The framework is based on identify- ing strokes, which in turn lead to recognition of handwritten on-line characters rather that the conventional character identification.