Papers with Multi-hop reading comprehension (RC

2 papers
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs (P19-1)

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Challenge: Existing models to tackle multi-hop reading comprehension (RC) are focusing on a single document or paragraph, but they lack the ability to do reasoning across multiple documents.
Approach: They propose a heterogeneous document-entity graph with different types of nodes and edges to solve multi-hop RC problem.
Outcome: The proposed model can do reasoning over the proposed graph with nodes representation initialized with co-attention and self-attention based context encoders.
Compositional Questions Do Not Necessitate Multi-hop Reasoning (P19-1)

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Challenge: a single-hop reasoning model can solve much more of the dataset than previously thought.
Approach: They propose a single-hop BERT-based RC model that achieves 67 F1 . they propose an evaluation setting where humans are not shown all paragraphs .
Outcome: The proposed model achieves 67 F1—comparable to state-of-the-art multi-hop models.

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