About This Session
Natural Language Processing (NLP) and Understanding (NLU) aim to make machines process human languages like English. This session will provide a complete overview of the field from the basic structure of human languages to the state of the art.
The session will focus on (a) deep theoretical understanding instead of mere use of pre-existing NLP libraries, (b) natural language understanding aspects instead of keywords-based analysis or text classification, (c) processing of 'English' 'text' and not speech recognition/synthesis or language translation.
We will discuss NLP applications and challenges, language components, Chomsky’s hierarchy of grammars, parsing algorithms, word-sense disambiguation, logic and inference, language synthesis, and available test/training datasets.
The Speaker(s)
Technology Architect
Alok Govil is a full-stack technology architect and entrepreneur spanning both software and hardware with specific expertise in natural language processing, neural networks, graph databases, computer vision, analog and digital circuit design, electronic displays, MEMS, and end-to-end systems engineering.