Kathrin Donandt

According to our database, Kathrin Donandt authored at least 9 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Incorporating Navigation Context into Inland Vessel Trajectory Prediction: A Gaussian Mixture Model and Transformer Approach.

Kathrin Donandt, Dirk Söffker

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

Spatial and Social Situation-Aware Transformer-Based Trajectory Prediction of Autonomous Systems.

Kathrin Donandt, Dirk Söffker

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Improved Context-Sensitive Transformer Model for Inland Vessel Trajectory Prediction.

Kathrin Donandt, Karim Böttger, Dirk Söffker

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Short-term Inland Vessel Trajectory Prediction with Encoder-Decoder Models.

Kathrin Donandt, Karim Böttger, Dirk Söffker

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2019

Translation inference through multi-lingual word embedding similarity.

Kathrin Donandt, Christian Chiarcos

Proceedings of TIAD-2019 Shared Task, 2019

2018

Universal Morphologies for the Caucasus region.

Christian Chiarcos, Kathrin Donandt, Maxim Ionov, Monika Rind-Pawlowski, Hasmik Sargsian, Jesse Wichers Schreur, Frank Abromeit, Christian Fäth

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Universal Morphology zwischen Sprachtechnologie und Sprachwissenschaft: Sprachressourcen für Kaukasussprachen.

Christian Chiarcos, Kathrin Donandt, Maxim Ionov, Monika Rind-Pawlowski, Hasmik Sargsian, Jesse Wichers Schreur

Proceedings of the 5. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2018

2017

Using Machine Learning for Translation Inference Across Dictionaries.

Kathrin Donandt, Christian Chiarcos, Maxim Ionov

Proceedings of the LDK 2017 Workshops: 1st Workshop on the OntoLex Model (OntoLex-2017), 2017

2016

Do We Really Need All Those Rich Linguistic Features? A Neural Network-Based Approach to Implicit Sense Labeling.

Niko Schenk, Christian Chiarcos, Kathrin Donandt, Samuel Rönnqvist, Evgeny A. Stepanov, Giuseppe Riccardi

Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, 2016