Shachi Dave

TL;DR: The work presented here is the only one to the authors' knowledge that describes language divergence phenomena in the framework of computational linguistics through a South Asian language.

TL;DR: The PaLM 2 model as mentioned in this paper is a Transformer-based model trained using a mixture of objectives, which has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM.

TL;DR: A unique approach to Knowledge Extraction from Hindi text which preserves the predicate till the end is presented which produces a semantic net like structure expressed by means of Universal Networking Language (UNL)—a recently proposed interlingua.

TL;DR: In this article , the authors focus on NLP fairness in the context of India and build resources for fairness evaluation in the Indian context and use them to demonstrate prediction biases along some of the axes.

TL;DR: This work considers the task of multilingual semantic parsing, and demonstrates the effec-tiveness and theexibility offered by large language models (LLMs) for translating English datasets into several languages via few-shot prompting, and provides a comprehensive study of the key design choices that enable effective data translation via prompted LLMs.