@article{M7420C4C9,
title = "Document Summarization Using TextRank Based on Sentence Embedding",
journal = "Journal of KIISE, JOK",
year = "2019",
issn = "2383-630X",
doi = "10.5626/JOK.2019.46.3.285",
author = "Seok-won Jeong,Jintae Kim,Harksoo Kim",
keywords = "document summarization,extractive summarization,TextRank,sentence embedding",
abstract = "Document summarization is creating a short version document that maintains the main content of original document. An extractive summarization has been actively studied by the reason of it guarantees the basic level of grammar and high level of accuracy by copying a large amount of text from the original document. It is difficult to consider the meaning of sentences because the TextRank, which is a typical extractive summarization method, calculates an edge of graph through the frequency of words. In a bid to solve these drawbacks, we propose a new TextRank using sentence embedding. Through experiments, we confirmed that the proposed method can consider the meaning of the sentence better than the existing method."
}