The main objective of our project is to employ a novel approach for generating a comprehensive set of questions from a given text using an advanced computational model. Specifically, we aim to outline a methodology that can facilitate the generation of a diverse and relevant set of questions, which in turn can assist in comprehending the text better.
Reflection for Check-in-3: https://docs.google.com/document/d/1oUvvymoL4dwb6ZA_wPvNjkP9DUqCIBWBE2ZbwjMCLA0/edit
Github: https://github.com/Spandan14/FAQer
Final Written Report: https://drive.google.com/file/d/1G7wN3YM9iro_g4q-VGnUFDV9E8270Eiv/view
Built With
- keras
- lstm
- python
- seq2seq
- tensorflow
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