Continuous evolution: Researchers work to specialize NLP for finance

From academics to data teams at investment banks, those in and adjacent to the capital markets are looking to specialize natural language processing models to understand and break down financial data.

Researchers are building on pre-trained natural language processing (NLP) models, introducing them to the idiosyncratic terminology of the finance world to find new uses for automation.

One of those researchers is Petter Kolm, a professor of mathematics at New York University’s Courant Institute of Mathematical Studies and a former quant at Goldman Sachs Asset Management. His work has included examining NLP models to understand how they can better make use of textual information.


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SEC squares off with broker-dealers over data analytics usage

The Gensler administration has ruffled feathers in the broker-dealer community with a new proposal seeking to limit broker dealers’ use of predictive data analytics. But at the heart of this deal is something far more seismic: one of the first attempts by the SEC to regulate AI.

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