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Fortuitous data Held at the ESSLLI 2016 summer school Abstract Schedule Lecturers Improving language technology with fortuitous data Lecturers: Barbara Plank and Anders Johannsen Course held at the ESSLLI summer school, August 15-19, Bozen-Bolzano Abstract Current successful approaches to natural language processing (NLP) are for the most part based on supervised learning. In turn, supervised learning critically depends on the availability of annotated data. Such data is generally not plentiful, as it requires time and expertise to develop annotated resources. This is the problem of data sparsity. At the same time, available annotated data is usually a sample of a particular domain or language. Thus, even if some annotated data is available, it is often not a clear fit for the problem at hand. This is the problem of data bias. In this course, we present approaches to facilitate NLP development when confronted by sparsity, or even absence, of supervision through ann...
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