Mirella Lapata. 2003 Probabilistic Text Structuring: Experiments with Sentence Ordering In Proceedings of the 41st Meeting of the Association of Computational Linguistics, 545-552. Sapporo.
Ordering information is a critical task for natural language generation applications. In this paper we propose an approach to information ordering that is particularly suited for text-to-text generation. We describe a model that learns constraints on sentence order from a corpus of domainspecific texts and an algorithm that yields the most likely order among several alternatives. We evaluate the automatically generated orderings against authored texts from our corpus and against human subjects that are asked to mimic the model s task.We also assess the appropriateness of such a model for multidocument summarization.
@InProceedings{Lapata:03,
author = {Mirella Lapata},
title = {Probabilistic Text Structuring: Experiments with Sentence Ordering},
crossref = {ACL:03},
pagees = {545--552}
}
@Proceedings{ACL:03,
title = {Proceedings of the 41st Annual Meeting of the
Association for Computational Linguistics},
booktitle = {Proceedings of the 41st Annual Meeting of the
Association for Computational Linguistics},
address = {Sapporo, Japan},
year = 2003
}