For query expansion through (pseudo-) relevance feedback, we use pseudorelevance feedback based on high-scoring sub-documents to augment the queries.
after retrieving some sub-documents for a given topic from the target corpus, we take a set of top ranked sub-documents, regarding them as relevant sub-documents to the query, and extract terms from these sub-documents.