Are there any packages or methods for computing similarity scores for a pair of sentences based on WordNet?
I am doing some research about automatic summarization based on WordNet, and need to compute similarity scores between two sentences.
I was using NLTK and computing the score for every pair of words iterated over the two sentences, which take a LOT of time and inefficient.
I'm looking for projects/libraries/methods that already implement intelligently to compute similarity scores between two sentences based on WordNet.
In addition, I have found the similar question Python:Semantic similarity score for String, but the package named Gensim doesn't look like what I want. So could you help me? Thank you!
