Question: What they use in their propsoed framework?
Answer: break the relation names into word sequences,  relation-level and word-level relation representations, bidirectional LSTMs (BiLSTMs),  residual learning method
Alternative answer: break the relation names into word sequences for question-relation matching, build both relation-level and word-level relation representations, use deep bidirectional LSTMs (BiLSTMs) to learn different levels of question representations, residual learning method for sequence matching, a simple KBQA implementation composed of two-step relation detection