Deep Learning & BERT – how Google’s language model could transform finance

Sit back, relax and join Refinitiv Labs to talk all things BERT - or Bidirectional Encoder Representations from Transformers - the current state of the art in Deep Learning.

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BERT reads sentences as ordered sequences rather than simply a jumble of words, allowing it to understand intent and excel at key language understanding tasks - such as classification, question answering, and named entity recognition.

Refinitiv Labs have been using Google's BERT model and adapting it for the nuances of financially focused language.

In this 30-min virtual lab, we will share:

The principles on which BERT operates
Practical advice on using BERT based on our experience
A practical application of BERT to document classification, identifying ESG controversies in news stories
How we think BERT could transform capital markets in the future

Complete the form now to see BERT in action!

Time: 30 Minutes

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BERT in action: identifying ESG controversies in news stories

The growth in sustainable investing has lead to a surge in the demand for data on environmental, social and governance (ESG) factors. However, most of the sources from which ESG data is sourced are unstructured.

Refinitiv Labs have used the BERT deep learning approach to generate language representations for news articles, and then attempt to classify them into one of 23 different ESG controversy topics. Weighted f1 performance on a test set of about 10,000 news articles is 81%.

BLOG: Next-level NLP and potential ESG controversies >

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Refinitiv Labs is shaping the future of data

We collaborate with our customers, partners and colleagues to identify and pursue new business opportunities.At Refinitiv Labs, cross-functional sprint teams rapidly prototype and validate AI-enabled solutions using emerging technologies, data science, lean techniques and trusted Refinitiv data. Our data science teams have deep understanding of the issues affecting financial markets and problem-solve from the world’s financial and technology hubs – in New York, Singapore, and London.

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