Online Meetup: NLP in the Financial Domain

Please register with Zoom at
https://us02web.zoom.us/webinar/register/WN_SWq1loriTOmlZcHU5BqzFA

The meeting password will be emailed on the day of the event. Please log on from 17:00 for a 17:05 start.

Hi everyone!

We hope you're keeping well. We're thrilled to announce our next online event - on NLP for Finance with Johannes Hoffart. Johannes will be calling in from Frankfurt, Germany and talking about some really cool Fintech work he is doing at Goldman Sachs. If you're interested in asking a question, there will be a forum available during the event for that in the Zoom call - we'll see any questions you post. The password to the Zoom event will be sent on the day of the event itself, look forward to seeing you there!

The Sydney NLP Team

Johannes Hoffart: NLP in the Financial Domain

SUMMARY
Natural language processing in the financial domain needs to deal with a variety of documents, each of which contains critical information, in many cases legally binding. One could easily claim that the financial industry does actually not run on numbers, but on documents! The language in the financial domain comes with extra dimensions: long legal documents, containing deeply nested structure with many visual cues, dense intra- and inter-document links, and with frequent edits and updates.

In this presentation I will highlight some key issues the financial industry is facing, and how natural language processing and knowledge representation can be used to overcome these. The driving use case will be the analysis of credit agreements, with a focus on the negative covenants. From a NLP perspective, the key issue lies in understanding the deeply nested legal language, which encodes mathematical constraints in natural language.

BIO
Johannes Hoffart is a Research Scientist in the Goldman Sachs CoreAI group, part of R&D Engineering, working on Natural Language Understanding and Knowledge Bases. He did his PhD at the Max Planck Institute for Informatics in the area of Artificial Intelligence, specifically Knowledge Base Construction, Entity Linking, and Entity Discovery. During his PhD he stayed at the Google Research group in Zurich. After his PhD he co-founded Ambiverse, spinning off his research and developing bleeding edge artificial intelligence solutions for financial, automotive, and media companies.

Johannes Hoffart is one of the creators of the YAGO knowledge base as well as the AIDA entity linking system, two of the most cited publications in their respective field. During his studies he co-founded a software company developing a tag-based file management application for macOS, Punakea. He published numerous papers and articles at renowned conferences and journals in the areas of Artificial Intelligence, Natural Language Processing, and Semantic Web.