Papers with QALD

2 papers
A State-transition Framework to Answer Complex Questions over Knowledge Base (D18-1)

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Challenge: Existing methods for complex question answering have some limitations . existing methods employ predefined patterns or templates to understand complex questions.
Approach: They propose a state transition-based approach to translate a natural language question to a semantic query graph.
Outcome: The proposed approach outperforms state-of-the-art methods on several benchmarks with two knowledge bases.
Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis (2022.lrec-1)

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Challenge: Knowledge Graph (KG) Question Answering (QA) is a rapidly growing field in research and industry.
Approach: They propose to create a new leaderboard for any KGQA benchmark dataset as a focal point for the community.
Outcome: The proposed model provides a central and open leaderboard for any KGQA benchmark dataset as a focal point for the community.

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