I have a very little data, so my word2vec model does not perform well. My intention is to identify words similar to technical terms such as 'support vector machine', 'machine learning', 'artificial intelligence' etc.
I am interested in knowing if I can use the Google's wikipedia model for this. But according to my model most of the words I will be dealing with are n-grams. Hence, how can I utilise this Google's wikipedia model that is based on unigrams to achieve my task?
I am happy to provide more examples if needed :)