Video Recordings

In NLP we rely on manually annotated data, e.g.  treebanks. Such data is hard to come by, explaining recent  interests in semi-supervised NLP. However, our labeled data is  also (almost always) extremely biased. This talk presents bias  correction techniques and discusses their applicability in NLP.