This is a quick announcement for those of you who work with or contribute to Rasa. I have created a template for my Test Locations bot. Clone the repo and make it your own.
I plan to extend the API with more countries and a more fine grained search. Get in touch if you want to contribute or share a trustworthy data source. Thank you.
This project has been listed on Rasa’s COVID-19 Open Sources website.
This is another detour into NLP history. If you haven’t, go check the first part talking about the pioneers of modern linguistics. In the middle of 1960s Joseph Weizenbaum came up with program that appeared to pass Turing’s test. Weizenbaum built a conversation simulator, known as ELIZA, using a fairly straightforward approach. The “chatbot” would…
In this part of the series we look at the chatbot architecture and design choices. I keep the explanations short and to the point, so that you can code along. Perhaps, you already have an idea of what to build with Rasa and only need a bit of guidance, or a hint. If you are…
So far I’ve looked at analysing tweets without paying much attention to data management. Today, I will show you how to organise tweets into a structured schema and store them in a database. This post is part of a series. I encourage you to catch up with the part 1 and part 2, if you’ve…
This post looks at early stages in the history of natural language processing. Early Approach to Machine Translation First documented attempts for interlingual translation date back to the 17th century. Descartes and Leibniz proposed codes which would relate words between languages. Attempts to arrive at a universal language eventually lead to the birth of Esperanto…
How does a computer process a piece of text? So that it can do interesting stuff with it. Such as picking the correct meaning out of a sarcastic remark or discerning spam from legit emails. This post explains four of the essential text processing algorithms: one-hot encoding, n-grams, word embeddings and bag of words. Linguistics…
This post will help you get started with Rasa, an open source framework for building contextual virtual assistants. I take an opinionated stand point, sharing what I found worked best in terms of cutting on time and effort. Among other things, I’ll show you how to work around some of the limitations and use this…