Variations of the Similarity Function of TextRank for Automated Summarization
Computation and Language
2019-06-06 v1 Information Retrieval
Abstract
This article presents new alternatives to the similarity function for the TextRank algorithm for automatic summarization of texts. We describe the generalities of the algorithm and the different functions we propose. Some of these variants achieve a significative improvement using the same metrics and dataset as the original publication.
Keywords
Cite
@article{arxiv.1602.03606,
title = {Variations of the Similarity Function of TextRank for Automated Summarization},
author = {Federico Barrios and Federico López and Luis Argerich and Rosa Wachenchauzer},
journal= {arXiv preprint arXiv:1602.03606},
year = {2019}
}
Comments
8 pages, 2 figures. Presented at the Argentine Symposium on Artificial Intelligence (ASAI) 2015 - 44 JAIIO (September 2015)