Graphical Models for Primarily Unsupervised Sequence Labeling ∗

  • M Neal, nparikh. org
  • Published 2007
Most models used in natural language processing must be trained on large corpora of labeled text. This tutorial explores a "primarily unsupervised" approach (based on graphical models) that augments a corpus of unlabeled text with some form of prior domain knowledge, but does not require any fully labeled examples. We survey probabilistic graphical models… (More)