Papers by L Subramaniam

1 papers
Best of Both Worlds: Towards Improving Temporal Knowledge Base Question Answering via Targeted Fact Extraction (2023.emnlp-main)

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Challenge: Temporal question answering (QA) is a complex task that requires reasoning over facts asserting time intervals of events.
Approach: They propose a temporal fact extraction technique that helps QA when it fails to retrieve temporal facts from the KB.
Outcome: The proposed technique can extract temporal facts that failed to get retrieved from the KB without additional training cost.

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