Automatic Evaluation of Text Coherence: Models and Representations
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1085-1089.
Abstract
This paper investigates the automatic evaluation of text coherence for machine-generated texts. We introduce a fully-automatic, linguistically rich model of local coherence that correlates with human judgments. Our modeling approach relies on shallow text properties and is relatively inexpensive. We present experimental results that assess the predictive power of various discourse representations proposed in the linguistic literature. Our results demonstrate that certain models capture complementary aspects of coherence and thus can be combined to improve performance.
@inproceedings{ijcai2005p30,
title = {Automatic Evaluation of Text Coherence: Models and Representations},
author = {Lapata, Mirella and Barzilay, Regina},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1085--1089},
year = {2005},
url = {https://ijcai.org/proceedings/2005/30},
}
TY - CPAPER TI - Automatic Evaluation of Text Coherence: Models and Representations AU - Lapata, Mirella AU - Barzilay, Regina T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 1085 EP - 1089 UR - https://ijcai.org/proceedings/2005/30 ER -Copied
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