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 (CoNLL Shared Task, 2016)

Using Machine Learning for Translation Inference Across Dictionaries. - Kathrin Donandt; Christian Chiarcos; Maxim Ionov (LDK Workshops, 2017)

Universal Morphology zwischen Sprachtechnologie und Sprachwissenschaft: Sprachressourcen für Kaukasussprachen. - Christian Chiarcos; Kathrin Donandt; Maxim Ionov; Monika Rind-Pawlowski; Hasmik Sargsian; Jesse Wichers Schreur (DHd, 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 (LREC, 2018)

Translation inference through multi-lingual word embedding similarity. - Kathrin Donandt; Christian Chiarcos (TIAD@LDK, 2019)

Short-term Inland Vessel Trajectory Prediction with Encoder-Decoder Models. - Kathrin Donandt; Karim Böttger; Dirk Söffker (ITSC, 2022)

Improved Context-Sensitive Transformer Model for Inland Vessel Trajectory Prediction. - Kathrin Donandt; Karim Böttger; Dirk Söffker (ITSC, 2023)

Spatial and Social Situation-Aware Transformer-Based Trajectory Prediction of Autonomous Systems. - Kathrin Donandt; Dirk Söffker (SMC, 2023)

Incorporating Navigation Context into Inland Vessel Trajectory Prediction: A Gaussian Mixture Model and Transformer Approach. - Kathrin Donandt; Dirk Söffker (FUSION, 2024)

Reliability comparison of vessel trajectory prediction models via Probability of Detection. - Zahra Rastin; Kathrin Donandt; Dirk Söffker (CoRR, 2025)