Papers with category based method

1 papers
Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction (D19-51)

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Challenge: Existing studies on forex prediction ignore related text completely and focus on forex trade data only, which loses important semantic information.
Approach: They propose a BERT-based Hierarchical Aggregation Model to summarize forex news . they group news from different aspects and extract the most crucial news in each group .
Outcome: The proposed model outperforms baseline methods and grouping methods and summarizes the influence patterns for forex trading.

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