The document discusses query formulation approaches for similarity search. It describes term extraction and topic extraction methods. Term extraction involves using algorithms like TF-IDF and RIDF to automatically extract relevant terms from a given corpus. Topic extraction uses topic models to cluster words that frequently occur together and connect words with similar meanings. MALLET and MAUI are tools mentioned for topic modeling, with MALLET providing efficient topic inference and MAUI identifying significant topics in documents.