no code implementations • 11 Dec 2023 • Soniya Vijayakumar, Tanja Bäumel, Simon Ostermann, Josef van Genabith
Pre-trained Language Models (PLMs) have shown to be consistently successful in a plethora of NLP tasks due to their ability to learn contextualized representations of words (Ethayarajh, 2019).
no code implementations • 14 Nov 2023 • Tanja Baeumel, Soniya Vijayakumar, Josef van Genabith, Guenter Neumann, Simon Ostermann
Pretrained language models (PLMs) form the basis of most state-of-the-art NLP technologies.
no code implementations • WS 2019 • Simon Ostermann, Sheng Zhang, Michael Roth, Peter Clark
This paper reports on the results of the shared tasks of the COIN workshop at EMNLP-IJCNLP 2019.
no code implementations • 21 Jun 2019 • Nishant Saurabh, Dragi Kimovski, Simon Ostermann, Radu Prodan
The emerging trend of Federated Cloud models enlist virtualization as a significant concept to offer a large scale distributed Infrastructure as a Service collaborative paradigm to end users.
Distributed, Parallel, and Cluster Computing
no code implementations • SEMEVAL 2019 • Simon Ostermann, Michael Roth, Manfred Pinkal
Half of the questions cannot be answered from the reading texts, but require the use of commonsense and, in particular, script knowledge.
no code implementations • SEMEVAL 2018 • Simon Ostermann, Michael Roth, Ashutosh Modi, Stefan Thater, Manfred Pinkal
This report summarizes the results of the SemEval 2018 task on machine comprehension using commonsense knowledge.
no code implementations • LREC 2018 • Simon Ostermann, Ashutosh Modi, Michael Roth, Stefan Thater, Manfred Pinkal
We introduce a large dataset of narrative texts and questions about these texts, intended to be used in a machine comprehension task that requires reasoning using commonsense knowledge.
no code implementations • SEMEVAL 2017 • Simon Ostermann, Michael Roth, Stefan Thater, Manfred Pinkal
Script knowledge plays a central role in text understanding and is relevant for a variety of downstream tasks.
no code implementations • LREC 2016 • Ashutosh Modi, Tatjana Anikina, Simon Ostermann, Manfred Pinkal
This paper presents the InScript corpus (Narrative Texts Instantiating Script structure).