Regina Barzilay and Mirella Lapata. 2005. Modeling Local Coherence: An Entity-Based Approach In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics, 141-148. Ann Arbor.

This paper considers the problem of automatic assessment of local coherence. We present a novel entity-based representation of discourse which is inspired by Centering Theory and can be computed automatically from raw text. We view coherence assessment as a ranking learning problem and show that the proposed discourse representation supports the effective learning of a ranking function. Our experiments demonstrate that the induced model achieves significantly higher accuracy than a state-of-the-art coherence model.

@InProceedings{Barzilay:Lapata:05,
  author =       {Regina Barzilay and Mirella Lapata},
  title =        {Modeling Local Coherence: An Entity-based Approach},
  crossref =     {ACL:05}, 
}

@Proceedings{ACL:05,
  title =        {Proceedings of the 43rd Annual Meeting of the
                  Association for Computational Linguistics},
  booktitle =    {Proceedings of the 43rd Annual Meeting of the
                  Association for Computational Linguistics},
  address =      {Ann Arbor},
  year =         2005
}