I am currently working on my undergraduate thesis on matching job descriptions to resumes based on the contents of both. Recently, I came across the following statement by Schmitt et al., 2016: "[...] [Recruiters] and job seekers [...] do not seem to speak the same language [...]. More precisely, CVs and job announcements tend to use different vocabularies, and same words might be used with different meanings".
Therefore, is BERT able to create contextualized word embeddings that are semantically similar or close for synonyms and semantically dissimilar or distant for the same words that have different meanings in the context of resumes and job postings? As far as I understand BERT, this should be the case as long as the same word occurs in a different context/sentence, but I'm not sure.
Thank you very much in advance!