Before revision:  To summarize our approach, we first extract knowledge tuples in their surface form from unstructured documents , encode them using a pre-trained language model, and link the surface-entities via the encoding to form the graph structure.
After revision:  To summarize our approach, we first extract knowledge tuples in their surface form from unstructured documents and encode them with contextual information. Entities with similar context semantics are then linked through internal alignment to form a graph structure.