A newer version of the Gradio SDK is available:
6.2.0
Follow up notes
Follow up 1
Date: Friday 11 October 2024
Work done
- Gradio Interface
- Folder Structure
- Shortest Path Algorithm
- V1 of the NER model
- Language Recognition
Questions
- Any recommendations on vectorizing the sentences ?
- Should we go for character or word based vectorization ?
Answers
- A good start would be with word based vectorization it's simpler and involves less dimensions
Remarks
Our idea to train and compare different models seems interesting to Prof. Nassar and he would like to see an F1-score comparison chart.
Follow up 2
Date: Friday 29 November 2024
Work done
- HMM
- Trained and evaluated LSTM
- Trained and evaluated BiLTM
- Starting to train BERT
Remarks
Prof. Nassar said to use cmarkea/distilcamembert-base instead of camembert-base because it converges faster.
Follow up 3
Date: Friday 17 January 2025
Work done
- Trained and evaluated CamemBERT
- Tested and evaluated LSTM and BiLSTM with POS as extra features
- Modified the interface to include a selected for the model
- Refactored the interface and added tabs for files with multiple sentences
Remarks
Prof. Nassar was happy with our work and excited to see the final product on the keynote.