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Hello, I read your paper using semantic features to improve performance, but in the code I only see using tfidf to generate word vectors. However, tfidf is not related to semantics. Or maybe I missed it.Where is the semantic feature information reflected?
The text was updated successfully, but these errors were encountered:
To my understanding, turning a word into a vector through Fasttext brings the "semantic", because with Fasttext, words close in meaning will have similar vectorized representations.
Hello, I read your paper using semantic features to improve performance, but in the code I only see using tfidf to generate word vectors. However, tfidf is not related to semantics. Or maybe I missed it.Where is the semantic feature information reflected?
The text was updated successfully, but these errors were encountered: