Project Polly
The project was to create an NLM (Natural Language Model), that is capable of extracting information using the polytope system to extract Specific weather information from large datacubes using features. The Polytope system allows for the data to be extracted and this therefore allows for the integration of a chatbot to assist in the extraction of this data. This is particularly useful for non-technical users. Therefore, an NLM was created to assist in the extraction of complex weather information. The NLM produced was robust and can understand a variety of user inputs which makes it ideal for use by both technical users and non-technical users.
Follow the developments on GitHub
Mentors
- Mathilde Leuridan
- Adam Warde
Participants
Christopher Drowley
Nadia Skifa
Kaitlyn Natasha Ries