Paper: A Unified Local and Global Model for Discourse Coherence

ACL ID N07-1055
Title A Unified Local and Global Model for Discourse Coherence
Venue Human Language Technologies
Session Main Conference
Year 2007
Authors

We present a model for discourse co- herence which combines the local entity- based approach of (Barzilay and Lapata, 2005) and the HMM-based content model of (Barzilay and Lee, 2004). Unlike the mixture model of (Soricut and Marcu, 2006), we learn local and global features jointly, providing a better theoretical ex- planation of how they are useful. As the local component of our model we adapt (Barzilay and Lapata, 2005) by relaxing independence assumptions so that it is ef- fective when estimated generatively. Our model performs the ordering task compet- itively with (Soricut and Marcu, 2006), and significantly better than either of the models it is based on.