Papers with Deep Question Generation

1 papers
Semantic Graphs for Generating Deep Questions (2020.acl-main)

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Challenge: Existing research has focused on generating factoid questions relevant to one fact obtainable from a single sentence.
Approach: They propose a framework that first constructs a semantic-level graph and then encodes it by introducing an attention-based GGNN.
Outcome: The proposed framework captures the global structure of the document and facilitates reasoning over multiple facts.

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