FinBERT-MRC: financial named entity recognition using BERT under the machine reading comprehension paradigm

Understand

Financial named entity recognition (FinNER) from literature is a challenging task in the field of financial text information extraction, which aims to extract a large amount of financial knowledge from unstructured texts.

• It is widely accepted to use sequence tagging frameworks to implement FinNER tasks.
• However, such sequence tagging models cannot fully take advantage of the semantic information in the texts.
• Instead, we formulate the FinNER task as a machine reading comprehension (MRC) problem and propose a new model termed FinBERT-MRC.