We propose Neural Word Salience (NWS) scores, unlike heuristics, are learnt from a corpus.
we learn word salience scores such that, using pre-trained word embeddings as the input, can accurately predict the words that appear in a sentence, given the words that appear in the sentences preceding or succeeding that sentence.