Rob has a background in information science, but quickly became interested in the field of natural language processing, especially in the problem of building robust models. His expertise lies in automatically deriving syntactic analyses of natural language (parsing), with a focus on low-resource settings. During his PhD, he improved the automatic syntactic analysis of social media texts by first translating it to a more ‘standard’ form (try it yourself: www.robvandergoot.com/monoise). More broadly, he is interested in the automatic processing of all types of language varieties without having explicit training data.
Rob will be working at the ITU as a postdoc under supervision of Barbara Plank (partially funded by Amazon), together they will develop natural language processing models for low-resource languages and language varieties.