Papers with semantic graph representation

2 papers
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering (2021.findings-acl)

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Challenge: Existing approaches suffer from low confidence when retrieving evidence facts to fill the knowledge gap and lack transparent reasoning process.
Approach: They propose a framework to exploit more valid facts while obtaining explainability for multi-hop question answering at web scale by dynamically constructing a semantic graph and reasoning over it.
Outcome: The proposed framework surpasses existing approaches while maintaining high explainability on OpenBookQA and ARC-Challenge.
Controllable Open-ended Question Generation with A New Question Type Ontology (2021.acl-long)

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Challenge: Existing question types are limited to generating multiple-sense questions . we present a question type-aware question generation framework to generate open-ended questions based on multiple-phrase questions - a task that is less explored .
Approach: They propose a question type-aware question generation framework which predicts question focuses and produces the question.
Outcome: The proposed model improves question quality over competitive comparisons on large-scale datasets.

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