At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization

6 April 2020

Papers citing "At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization"

4 / 4 papers shown

Title
Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan Kenichiro Ando T. Okumura Mamoru Komachi Hiromasa Horiguchi Yuji Matsumoto 32 7 0 20 Sep 2022
Generating Tips from Song Reviews: A New Dataset and Framework Jingya Zang Cuiyun Gao Yupan Chen Ruifeng Xu Lanjun Zhou Xuan Wang 18 1 0 14 May 2022
SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline Jiaxin Ju Ming Liu Longxiang Gao Shirui Pan 60 13 0 19 Oct 2020
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati Feifei Zhai Bowen Zhou 207 1,254 0 14 Nov 2016