Introducing PAUSE: A deep natural language model for the private markets – Sonja Horn & Lele Cao, EQT

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Session Outline

In late 2021, the data science team at EQT’s AI-powered investment platform Motherbrain published a research paper (PAUSE: Positive and Annealed Unlabeled Sentence Embedding) at EMNLP 2021, which is acknowledged as one of the best NLP academic conferences in the world. This session will focus on the data challenges in the private markets, the highlights of PAUSE and how it is moving the needle in applying deep learning in the private markets.

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