Guess for missing informations

[KuRoti]

In the code, there is a mention about "cosine similarity from BERT-based embeddings but observed longer inference time and
similar performance", and this version of code is using SBRT similarity, which is missing "from Layer2.Fine_tuned_BERT import get_similarity_from_SBERT" file.

So in order to implement the paper settings, we need to replace this sbert similarity function to LDA similarity function.
(

DGen/Conceptualizer.py

Line 68 in ddbe0e4

probabilities_of_concepts = self.__calculate_probs_of_concepts_bert(

->

DGen/Conceptualizer.py

Line 169 in ddbe0e4

def __calculate_probs_of_concepts(self, concepts, sentence, debug):

)
The code is fragmented, but it seems to contain all the important information. Thank you for providing codes for feature similarity calculation