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Towards Neural Information Extraction without Manual Annotated Data
2018
Information extraction (IE) is one of the most important technologies in the information age. Applying information extraction to text is linked to the problem of text simplification in order to create a structured view of the information present in free text. However, information extraction is a very challenging task, due to the inherent difficulties to understand natural language and the high cost to obtain large manual annotated training data. In this thesis, we build on the premise of
doi:10.7939/r3g44j63v
fatcat:olkj4cbd5vecblax2onbkewpcm