The NLP Group at the University of Mannheim [1] invites applications for ONE PHD/POSTDOCTORAL RESEARCHER IN NATURAL LANGUAGE PROCESSING Applicants should have a strong (undergraduate/graduate) profile in computer science, NLP, AI, machine learning or a related discipline. Applicants for the ...

In courses, all participants are usually provided with identical learning materials, regardless of previous knowledge and ability. As part of the project, a recommendation system is to be developed and tested in two different courses, which provides students with additional materials such as ...

The KISync research project aims to investigate how methods of artificial intelligence (AI) must be applied to solve the decision problems of different processes in the synchronize operational supply chain planning under the influence of uncertainties. Included is primarily intended to support ...

The digitization and optimization of active processes in the construction industry using methods of artificial intelligence is of strategic interest for those involved in construction. The aim of this project application is the development of an AI-based system for the semantic classification and ...

We are happy to announce that the Web Data Commons – Schema.org Table Annotation Benchmark (WDC SOTAB) has won the Dataset Track of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab) at the International Semantic Web Conference 2022.

The German Foundation for Peace Research funds a new project on hate speech analysis on Twitter.

Jan Portisch has successfully defended his PhD thesis titled “Exploiting General-Purpose Background Knowledge for Automated Schema Matching” on August 25th.

Lea Cohausz has received an award for the best student shart paper at the 15th International Conference on Educational Data Mining for her work on “Towards Real Interpretability of Student Success Prediction Combining Methods of XAI and Social Science”. Congratulations!  ...

Anna Primpeli has successfully defended her PhD thesis titled “Reducing the Labeling Effort for Entity Resolution using Distant Supervision and Active Learning” today.

The paper “Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings” by Adrian Kochsiek, Fritz Niesel, and Rainer Gemulla has been accepted at the 2022 ECML-PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in ...