Alternatively to applying nonparametric operators on word embeddings to create sentence embeddings, recurrent neural networks can learn the optimal weight matrix that can produce an accurate sentence embedding when repeatedly applied to the constituent word embeddings.
our experimental results show that the proposed NWS scores outperform baseline methods, previously proposed word salience scores and sentence embedding methods on a range of benchmark datasets selected from past SemEval STS tasks.