Artificial Intelligence

    

Technical Report for WAIC Challenge of Financial QA under Market Volatility

Authors: Meng Cao, Ji Jiang, Qichen Ye, Yuexian Zou

This technical report presents the 1st winning model for Financial Community Question-and-Answering (FCQA), which is a task newly introduced in the Challenge of Financial QA under Marker Volatility in WAIC 2022. FCQA aims to respond to the user’s queries in the financial forums with the assistance of heterogeneous knowledge sources. We address this problem by proposing a graph transformer based model for the efficient multi-source information fusion. As a result, we won the first place out of 4278 participating teams and outperformed the second place by 5.07 times on BLUE.

Comments: 4 Pages. Technical Report for WAIC Challenge of Financial QA under Market Volatility

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Submission history

[v1] 2022-09-27 06:59:48

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