Abstract:Reading text to extract relational facts has been a longstanding goal in natural language processing. It becomes especially challenging when the extraction scope is extended to document level, where multiple entities in a document generally exhibit complex intra-and inter-sentence relations. In this paper, we propose a novel Multi-granularity Heterogeneous Graph (MHG) to tackle this challenge. Specifically, we define four types of nodes with different granularities and eight types of edges based on heuristic r… Show more
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