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arXiv · 2202.00631

FiNCAT: Financial Numeral Claim Analysis Tool

Sohom Ghosh·Sudip Kumar Naskar
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Abstract

While making investment decisions by reading financial documents, investors need to differentiate between in-claim and outof-claim numerals. In this paper, we present a tool which does it automatically. It extracts context embeddings of the numerals using one of the transformer based pre-trained language model called BERT. After this, it uses a Logistic Regression based model to detect whether the numerals is in-claim or out-of-claim. We use FinNum-3 (English) dataset to train our model. After conducting rigorous experiments we achieve a Macro F1 score of 0.8223 on the validation set. We have open-sourced this tool and it can be accessed from https://github.com/sohomghosh/FiNCAT_Financial_Numeral_Claim_Analysis_Tool

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BibTeXRIS

Sohom Ghosh, Sudip Kumar Naskar. 2022-01-26. FiNCAT: Financial Numeral Claim Analysis Tool. https://doi.org/10.1145/3487553.3524635

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