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 } |