Rob van der Goot

Rob van der Goot is an Associate Professor at the IT University of Copenhagen, specializing in robustness in natural language processing (NLP). His work focuses on non-standard language varieties, low-resource languages, and scenarios with limited training data, particularly in syntactic tasks. He is involved in projects like MaChAmp and MoNoise, which address multi-task learning and lexical normalization.

• Supervises PhD student Arzu Burcu Güven and mentors postdoc Elisa Bassignana
• Member of the HPC committee at ITU and the AI Pioneer Center
• Active in research collaborations including the COST Action Multi3Generation

His research has earned accolades, including a Best Paper Award at WNUT 2022, an Outstanding Paper Award at EACL2021, and the Most Reviews Award at NAACL 2019. He frequently presents at international venues, such as LMU, DeiC Konference, and the University of Helsinki.

His recent publications explore cross-domain dialogue act classification, code-switched lexical normalization, and multi-task learning frameworks. His work has been featured in media outlets like Omrop Fryslan and Linear Digressions.

• 2022: Best Paper Award for Increasing Robustness for Cross-domain Dialogue Act Classification on Social Media Data (WNUT)
• 2021: Outstanding Paper Award for MaChAmp (EACL)
• 2019: Most Reviews Award (NAACL)

As part of the HPC committee and DeIC Science Forum, he contributes to computational infrastructure and data management initiatives. His supervision history includes advising Anders Giovanni Møller (shared first place in WNUT 2021 shared task) and collaborations with researchers like Barbara Plank and Malvina Nissim.