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FinBERT: A Pretrained Language Model for Financial Communications
[article]
2020
arXiv
pre-print
Contextual pretrained language models, such as BERT (Devlin et al., 2019), have made significant breakthrough in various NLP tasks by training on large scale of unlabeled text re-sources.Financial sector also accumulates large amount of financial communication text.However, there is no pretrained finance specific language models available. In this work,we address the need by pretraining a financial domain specific BERT models, FinBERT, using a large scale of financial communication corpora.
arXiv:2006.08097v2
fatcat:eiijfp6xorbghibcyerjdnbofm