Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …

As language models grow ever larger, the need for large-scale high-quality text datasets has
never been more pressing, especially in multilingual settings. The BigScience workshop, a 1 …

The fast advancement in machine translation models necessitates the development of
accurate evaluation metrics that would allow researchers to track the progress in text …

Significant research has been conducted during the last decade on the application of
machine learning for speech processing, particularly speech recognition. However, in recent …

Recent research has revealed undesirable biases in NLP data and models. However, these
efforts focus on social disparities in West, and are not directly portable to other geo-cultural …

We present iNLTK, an open-source NLP library consisting of pre-trained language models
and out-of-the-box support for Data Augmentation, Textual Similarity, Sentence …

Sentiment analysis on social media relies on comprehending the natural language and
using a robust machine learning technique that learns multiple layers of representations or …

Offensive content or hate speech is defined as any form of communication that aims to
annoy, harass, disturb, or anger an individual or community based on factors such as faith …

Many people have begun to use social media platforms due to the increased use of the
Internet over the previous decade. It has a lot of benefits, but it also comes with a lot of risks …

Language models based on the Transformer architecture have achieved state-of-the-art
performance on a wide range of NLP tasks such as text classification, question-answering …