numerical reasoning

AntTech

Jun 21, 2022 · Artificial Intelligence

FinQA Competition Winning Model by Ant Risk AI: Architecture, Dataset, and Experimental Results

Ant Risk AI’s team secured the FinQA competition champion by presenting a comprehensive model that combines a retriever and program generator, detailed dataset analysis, domain-specific language design, and extensive experiments demonstrating superior execution and program accuracy on financial numerical reasoning tasks.

Dataset AnalysisFinQANLP

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FinQA Competition Winning Model by Ant Risk AI: Architecture, Dataset, and Experimental Results

AntTech

Sep 27, 2020 · Artificial Intelligence

Question Directed Graph Attention Network for Numerical Reasoning over Text (QDGAT)

The paper introduces QDGAT, a question‑directed graph attention network that enhances numerical reasoning in reading comprehension by explicitly modeling relationships among numbers, entities, and questions, and demonstrates its effectiveness through extensive experiments on the DROP dataset.

DROPKnowledge GraphNLP

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Question Directed Graph Attention Network for Numerical Reasoning over Text (QDGAT)