Models for recognizing categories, entities, roles, and patterns in legal text documents have been developed mainly for forms: They have in common that they require some fixed structure to reliably obtain the relevant information and only predefined subjects are covered by existing algorithms. Neither polystructured nor free text data are interpreted in a meaningful way.
Mag.
Not only because of his statistical background (Master degree in Management Science at WU Wien), Frederick Bednar has been gathered experience as a "data aficionado" for about two decades now.
In this presentation we describe how we developed modules and pipelines for the industrial processing of data and content from a machine learning project in the legal domain. Lawyers’ work is far from being digitized. They need to deal with large amounts of printed documents of various types (e.g. letters, contracts, invoices, orders, offers, court documents). A single mandate could consist of several hundreds of paper folders. To work on specific aspects of a case, they need to review, annotate, reorder, even reprint and reattach their documents to a new folder.
Data Engineer
Wolters Kluwer
http://wolterskluwer.com/
At the interface of language and technology, Carsten works agile at Wolters Kluwer with data and AI on the development and implementation of components for new digital products. As an expert in enhancing customer content, he analyzes data, carries out series of tests, takes business and customer requirements, and converts them into user stories.
In the frame of Cohesion Policy, the European Union distributed 32.5 % of the EU budget (equivalent to ca. EUR 351.8 billion over seven years) to its member states. European Law obligates the member states to publish how the money was spent. In this talk, we are going to describe what is the effect of the EU legislation regulating the data publication of Cohesion Policy as well as how decision-makers can make more sense out of it thanks to the integration in Knowledge Graphs and Question Answering Techniques.
PhD
The QA Company
https://the-qa-company.com
Dennis Diefenbach is a PhD researcher and entrepreneur in the area of Question Answering over Knowledge Graphs.
He did his PhD under a Marie Skłodowska-Curie action, Europe's most competitive and prestigious research and innovation fellowship. He worked for IBM and SAP.
The World Cafe is online only. Please go to https://t1p.de/session21.
