Natural Language Processing (NLP) has become an important part of modern systems. It is used extensively in search engines, conversational interfaces, document processors, and so on. Machines can handle structured data well. But when it comes to working with free-form text, they have a hard time. The goal of NLP is to develop algorithms that enable computers to understand freeform text and help them understand language.
One of the most challenging things about processing freeform natural language is the sheer number of variations. The context plays a very important role in how a particular sentence is understood. Humans are great at these things because we have been trained for many years. We immediately use our past knowledge to understand the context and know what the other person is talking about.
To address this issue, NLP researchers started developing various applications using machine learning approaches. To build such applications, we need...