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Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Relation extraction (RE) is an important task for many natural language processing applications. Document-level relation extraction task aims to extract the relations within a document and poses many challenges to the RE tasks as it requires reasoning across sentences and handling multiple relations expressed in the same document. Existing state-of-the-art document-level RE models use the graph structure to better connect long-distance correlations. In this work, we propose SagDRE model, whichdoi:10.1145/3534678.3539304 fatcat:ke3pousmg5etjdyl72zpbime7e