_inter-sentence-relation-extraction-with-document-level-graph-convolutional-neural-network.jpg "Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network from kumar bi Video Screenshot Preview")
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⏲ Duration: 5 min 49 sec
✓ Published: 16-Jan-2020
✓ Published: 16-Jan-2020
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Authors: Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou nnInter-sentence relation extraction deals with a number of complex semantic relationships in documents, which require local, non-local, syntactic and semantic dependencies. Existing methods do not fully exploit such dependencies. We present a novel inter-sentence relation extraction model that builds a labelled edge graph convolutional neural network model on a document-level graph. The graph is constructed using v
Authors: Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou nnInter-sentence relation extraction deals with a number of complex semantic relationships in documents, which require local, non-local, syntactic and semantic dependencies. Existing methods do not fully exploit such dependencies. We present a novel inter-sentence relation extraction model that builds a labelled edge graph convolutional neural network model on a document-level graph. The graph is constructed using v
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