Information extraction

Advanced lecture, 5-6 ECTS credits, winter semester 2019–20

Basic Information

This advanced lecture focuses on how to construct knowledge bases using information extraction techniques. Topics will be automated information extraction using patterns, supervised extractors and open information extraction, infobox crawling, entity disambiguation and normalization, learning over knowledge bases, and their use in question answering. We will also touch upon crowdsourced KB construction, evaluation measures, and some state-of-the-art knowledge bases. In the labs, students will step-by-step build their own knowledge base for selected toy domains.