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losimons

Profile

Name: lore.simons
Location: Leuven (Belgium)
LinkedIn: linkedin.com/in/lore-simons-37a781122/

About Me

ML Engineer (focused on NLP, intrigued by a lot more)
Self-made software developer
Design Sprint Advocate
Passionate about Sports
“Measuring is knowing”
“Practice what you preach”

Discussions

A chatbot for people suffering from PTSD

Feb 13, 2021
Hi there! Sounds like an interesting use case, curious to your work! Rasa has a couple of useful resources to get started (with developing, or understanding the basics of Natural Language Processing). From the top of my head I would refer you to their Youtube channel, it has some great content.

Rasa test nlu: test if all entities are labeled correctly within a sentence

Feb 12, 2021
Hi there! Maybe some suggestions. You could “re-process” the .json files generated by the rasa test nlu yourself in a custom script (by combining the DIETClassifier_report.json & DIETClassifier_errors.json you could extract some metrics).

Advice on generating the right amount of NLU training data

Feb 11, 2021
Fair point! I fully understand what you are saying and believe that looking at the actual data/results and ideally taking end-user experience into account is the best way to go. However, in this case, I was just looking for inspiration, if there is a way to get a first view on the performance already.

How to handle 2 numerical slots in 1 form?

Jan 20, 2021
Thank you for all the replies, got something working now! However, I was trying to create some test data to check the performance and I noticed something strange, potentially it has to do with the fact that I am using Duckling to extract numbers and at the same time using roles.

Error when running rasa test even when intent is correct

Dec 15, 2020
So this way of entity annotation [Madrid]{ "entity" : "location"} will cause an error then? Should it always be [Madrid](location)? What if you are working with roles/groups when it comes to entities, for example: {"entity":"number","role":"..."}