Natural Language Processing | Riyanka Bhowal, Walmart
Natural language processing has direct real-world applications, from speech recognition to automatic text generation, from lexical semantics understanding to question answering. In just a decade, neural machine learning models became widespread, largely abandoning the statistical methods due to its requirement of elaborate feature engineering. Popular techniques include use of word-embeddings to capture semantic properties of words. In this workshop, we take you through the ever-changing journey of neural models while addressing their boons and banes.
The workshop will address concepts of word-embedding, frequency-based and prediction-based embedding, positional embedding, multi-headed attention and application of the same in unsupervised context.
This workshop was conducted by Riyanka Bhowal, Senior Data Scientist at Walmart Gobal Tech.
Learn more about WiDS Workshops: widsconference.org/workshops