Unsupervised Discourse Constituency Parsing Using Viterbi EM

Unsupervised Discourse Constituency Parsing Using Viterbi EM

Blog Article

In this paper, we introduce Blood Pressure - Blood Pressure Units an unsupervised discourse constituency parsing algorithm.We use Viterbi EM with a margin-based criterion to train a span-based discourse parser in an unsupervised manner.We also propose initialization methods for Viterbi training of discourse constituents based on PLATINUM 100% CREATINE our prior knowledge of text structures.Experimental results demonstrate that our unsupervised parser achieves comparable or even superior performance to fully supervised parsers.

We also investigate discourse constituents that are learned by our method.