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FiNCAT: Financial Numeral Claim Analysis Tool

EasyChair Preprint no. 7387, version 2

Versions: 12history
3 pagesDate: March 18, 2022


While making investment decisions by reading financial documents, investors need to differentiate between in-claim and out-of-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

Keyphrases: financial text processing, Natural Language Processing, numeral claim detection

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Sohom Ghosh and Sudip Kumar Naskar},
  title = {FiNCAT: Financial Numeral Claim Analysis Tool},
  howpublished = {EasyChair Preprint no. 7387},

  year = {EasyChair, 2022}}
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