Introduction A hyper parameter is a variable that we need to set before applying a learning algorithm into a dataset. The challenge with hyper parameters is that there are no magic numbers that work everywhere. The best numbers depend on each task and each dataset. Generally speaking, we can break Read more…
Introduction Distributional semantics is a subfield of natural language processing predicated on the idea that word meaning is derived from its usage. The distributional hypothesis states that words used in similar contexts have similar meanings. That is, if two words often occur with the same set of words, then they Read more…
Introduction Last few decades have witnessed substantial breakthroughs on several areas of speech and language understanding research, specifically for building human to machine conversational dialog systems. Dialog systems, also known as interactive conversational agents, virtual agents or sometimes chatbots, are useful in a wide range of applications ranging from technical Read more…
Introduction automatic text summarization is the process of shortening a text while keeping the main content and ideas of the documents. With the large amount of text published online such as product’s reviews and the quick capture of these document’s content is critical for decision making. Therefore; manual text summarization Read more…
RNN vs LSTM let’s say we have a regular neural network which recognizes images and we fitted this image. And the neural neural network guesses that the image is most likely a dog with a small chance of being a wolf and an even smaller chance of being a goldfish. But, Read more…
Welcome back to part 2 of the Rasa NLU in Depth series. In this three-piece blog post series we share our best practices and experiences about Rasa NLU which we gained in our work with community and customers all over the world Understanding the user’s intent is only part of Read more…
AI assistants have to fulfill two tasks: understanding the user and giving the correct responses. The Rasa Stack tackles these tasks with the natural language understanding component Rasa NLU and the dialogue management component Rasa Core. Based on our work with the Rasa community and customers from all over the Read more…