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Normalized Entity Graph for Computing Local Coherence
2014
Proceedings of TextGraphs-9: the workshop on Graph-based Methods for Natural Language Processing
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Guinaudeau and Strube (2013) introduce a graph based model to compute local entity coherence. We propose a computationally efficient normalization method for these graphs and then evaluate it on three tasks: sentence ordering, summary coherence rating and readability assessment. In all tasks normalization improves the results.
doi:10.3115/v1/w14-3701
dblp:conf/textgraphs/Mesgar014
fatcat:geaxasvkprgifgz4gp7sf4uxv4