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a paper reading list on Document level Relation Extraction
同学你好,在这篇论文中有些许疑惑,想请教一下:
在“Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction“论文中,
论文的主要创新点在于formulate了一个可以反映文档结构的entity-centric adjacency matrix, 在2.3小节也提到"我们利用特定的参数实例化了此矩阵中的元素",并在之后介绍了两种Transformation module。我想知道在此处是如何将adjacency matrix中的元素实例化为具有特定意义的神经层参数的呢?这个实例化过后的矩阵的信息是否包含在公式(6)中的A或公式(7)中的K,Q呢?是否在此过程中结构信息是否有所损失呢?
期待你的回复!
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