A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction

  title={A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction},
  author={Kohei Makino and Makoto Miwa and Yutaka Sasaki},
In this paper, we propose a novel edge-editing approach to extract relation information from a document. We treat the relations in a document as a relation graph among entities in this approach. The relation graph is iteratively constructed by editing edges of an initial graph, which might be a graph extracted by another system or an empty graph. The way to edit edges is to classify them in a close-first manner using the document and temporallyconstructed graph information; each edge is… 

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