TY  - JOUR
T1  - Document Summarization Using TextRank Based on Sentence Embedding
AU  - Jeong, Seok-won 
AU  - Kim, Jintae 
AU  - Kim, Harksoo 
JO  - Journal of KIISE, JOK
PY  - 2019
DA  - 2019/1/14
DO  - 10.5626/JOK.2019.46.3.285
KW  - document summarization
KW  - extractive summarization
KW  - TextRank
KW  - sentence embedding
AB  - 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.