I think you should use Keras embedding layer. It will be too easier than what you are doing.
Create Embedding Matrix
add matrix to embedding layer while building model.
You will find detailed article
Video summarization can be considered as the process of distilling a raw video into a more compact form without losing much information. In a general video summarization system, image features of video frames are extracted, and then the most representative frames are selected through analyzing the visual variations among visual features. This is done either ...
I think what you are looking for is an RNN network (Either LSTM or GRU) with the many-to-many topology.
Clearly your input is the sentences (or to be more precise, the an embedding of your sentences, because you cannot feed the raw text to the network). then for each sentence you want to assign a value, which means for n inputs, you ...