Papers with ConvADR-QA

1 papers
Open-Domain Conversational Question Answering with Historical Answers (2022.findings-aacl)

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Challenge: Existing approaches to conversational question answering are limited due to the large number of candidate documents.
Approach: They propose a model that leverages historical answers to boost retrieval performance . they propose to use open-domain conversational question answering to solve these problems .
Outcome: The proposed model outperforms baseline models in extractive and generative reader settings on OR-QuAC dataset.

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