Before revision: The ability to capture complex linguistic structures and long-term dependencies among words in the passage is essential for many natural language understanding tasks. In relation extraction , dependency trees that contain rich syntactic clues have been widely used to help capture long-term dependencies in text . Graph neural networks (GNNs), one of the means to encode dependency graphs, has been shown effective in several prior works.
After revision: The ability to capture complex linguistic structures and long-term dependencies among words in the passage is essential for relation extraction (RE) tasks . Graph neural networks (GNNs), one of the means to encode dependency graphs, has been shown effective in several prior works.