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NLP at Scale

At this talk, we will discuss the system-centric approach to the NLP. There was huge progress in NLP modeling based on transformer-based neural architectures.

We will discuss how to build a large-scale NLP system supporting high loads by the number of queries per second or amounts of documents to be processed, a large number of models, a large number of scientists working in parallel.

We will talk about multiple different approaches to build production scale NLP systems and we will discuss different tradeoffs in building such systems.

Applications of Distributed Natural Language Processing in Finance

Spreading of Financial Statements for counterparty assessments is a difficult process. Moody will cover an on-demand application for solving how to convert...