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Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis
Feb. 20, 2024, 5:43 a.m. | Agam Shah, Arnav Hiray, Pratvi Shah, Arkaprabha Banerjee, Anushka Singh, Dheeraj Eidnani, Bhaskar Chaudhury, Sudheer Chava
cs.LG updates on arXiv.org arxiv.org
Abstract: In this paper, we investigate the influence of claims in analyst reports and earnings calls on financial market returns, considering them as significant quarterly events for publicly traded companies. To facilitate a comprehensive analysis, we construct a new financial dataset for the claim detection task in the financial domain. We benchmark various language models on this dataset and propose a novel weak-supervision model that incorporates the knowledge of subject matter experts (SMEs) in the aggregation …
abstract analysis analyst arxiv claim companies construct cs.cl cs.lg dataset detection earnings events finance financial financial market influence numerical paper q-fin.cp reports returns supervision them type
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