About
Susanna Rücker serves as a Researcher at the Institute of Computer Science within Humboldt University of Berlin's Faculty of Mathematics and Natural Sciences, actively contributing to the Machine Learning (J) research group. Her institutional affiliation includes the Rudower Chaussee 25 campus in Berlin-Adlershof with direct contact via susanna.ruecker@hu-berlin.de and office phone 030 2093-41177.
Her research program centers on advancing Natural Language Processing through Machine Learning methodologies, with specialized expertise in Entity Disambiguation, Named Entity Recognition, and Multilingual Systems. Rücker's work bridges theoretical innovation and practical resource development, particularly in cross-lingual applications and noise-robust dataset creation for NLP tasks.
Analysis of her recent publications reveals a cohesive trajectory toward improving entity resolution systems and multilingual lexicon development. Her 2025 work on dual encoder architectures for entity disambiguation builds upon foundational contributions like the CleanCoNLL dataset (2023) and 91-language emotion lexicons (2020), demonstrating consistent focus on evaluation frameworks and resource quality in computational linguistics.
Scientific Awards: No awards documented in available materials.
Advising and Grants: Current documentation provides no details regarding doctoral supervision, research grants, or funded projects under her leadership.
Laboratory Affiliations: Rücker operates within the Machine Learning (J) group at Humboldt University's Institute of Computer Science, which specializes in cutting-edge algorithm development and NLP system implementation.