Tag: News & events
Stay up to date with Kairntech’s latest news, product updates, AI events, webinars, and industry insights in natural language processing and machine learning.
Webinar: Creating and updating biomedical Knowledge Graphs with AI/NLP
June 8th, 2022 @ 4pm CET Knowledge Graphs are a powerful and increasingly popular approach to represent complex knowledge and to support analysis and the discovery of new facts. Knowledge Graphs offer themselves for the integration of insights from structured databases, manually curated data and batches of facts derived from large-scale document analysis. However, creating
Fraunhofer SCAI and Kairntech succeed with AI-powered Relation Extraction for Indication-Specific Knowledge Graph assembly
A Knowledge Graph for psychiatric disorders SANKT AUGUSTIN. The Fraunhofer Institute for Algorithms and Scientific Computing SCAI and the software company Kairntech (Grenoble) have created a knowledge graph for psychiatric disorders, especially psychoses. Knowledge graphs allow unstructured texts to be represented in a structured, comparable format. They visualize cause-and-effect models to help medical professionals
Kairntech DGI Webinar of February 24th, 2021
Introduction The second session in the DGI Kairntech Webinar series was about Entity Extraction and how user can quickly start their own projects. Please find the presentation (in german) done by Stefan Geissler from Kairntech below:
Kairntech DGI Webinar of February 10th, 2021
Introduction We have arranged a webinar February 10th, 2021 presenting a high-level introduction into Natural Language Processing (NLP) with overview on tasks, demo systems & links to sample code. Please find the presentation (in german) done by Stefan Geissler from Kairntech below:
Kairntech & Scaleway Webinar: Thursday, Dec 17, 2020 @ 5:30pm
Data Annotation & Active Learning We all heard that “data is the new oil”. However, just like its petroleum predecessor, data is of no use until it is processed. One processing step that is often required for unstructured data (e.g. text, images, audio and video files) is data annotation. This is done manually, can require