1
$\begingroup$

I want to build a model that takes a document, creates sentence embedding for each sentence using a bi-LSTM, then use the sequence of sentences embedding as input to another bi-LSTM that outputs a probability for each sentence to be a topic shift boundary. I have difficulty building the model, as I never did any custom training before, I am used to considering the whole words as one sequence. Any hints ?

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.