Recognizing feelings in the conversation partner and replying empathetically is a trivial skill for humans. But how can we infuse empathy into responses generated by a conversational dialogue agent or any of the text generation algorithm in Natural Language Processing? In this article, I will describe what empathy means through the lens of various academic disciplines and then do an in-depth review of the prior and current state-of-the-art NLU systems that can simulate empathy.

Identifying patterns among questions is quite an effective strategy when you are grinding LeetCode in preparation for your upcoming software engineering interviews. In this article, you will develop intuitions about Sliding Window pattern. You will also get a template approach to write code to solve these problems. I will also walk you through some LeetCode questions to show how to apply the template and at the end, there will be some LeetCode exercises for you to practice what you learn.

In June 2020, Twitter announced a major overhaul in its storage and retrieval systems. These changes allowed Twitter to reduce the search index latency from 15 seconds to 1 second.

So, what did they do to get such impressive gains? Allow me to explain!

Word vector representations with subword information are great for NLP modeling. But can we make lexical corrections using a trained embeddings space? Can its accuracy be high enough to beat Peter Norvig’s spell-corrector? Let’s find out!