Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.
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Updated
Mar 7, 2022 - Jupyter Notebook
Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.
This is my Final Year Project on Multilingual Multiple choice Question Generation using LSTM and Transformer.
Building this project to generate MCQ Questions from any type of text and generate answers and distractors for it.
An end-to-end solution on how MCQs can be generated using T5 transformer model, word embeddings and decoding strategies
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