Papers with inference mechanism

1 papers
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs (D19-1)

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Challenge: Existing approaches to document-level relation extraction use nodes and edges as relations between nodes.
Approach: They propose an edge-oriented graph neural model for document-level relation extraction that uses different types of nodes and edges to create a document-based graph.
Outcome: The proposed model can learn intra- and inter-sentence relations using multi-instance learning internally.

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