Papers with graph-based iterative knowledge retrieval module

1 papers
Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources (2020.coling-main)

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Challenge: Existing methods to facilitate natural language understanding rarely involve commonsense or background knowledge.
Approach: They propose a question-answering method that integrates multiple knowledge sources to boost performance.
Outcome: The proposed method outperforms other competing methods on the CommonsenseQA dataset and achieves the new state-of-the-art.

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