Qingyu Zhou

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

2020 · arXiv (Cornell University)

Extractive methods have been proven effective in automatic document summarization. Previous works perform this task by identifying informative contents at sentence level. However, it is unclear whether performing extraction at sentence level is the best …

Selective Encoding for Abstractive Sentence Summarization

2017

We propose a selective encoding model to extend the sequence-to-sequence framework for abstractive sentence summarization. It consists of a sentence encoder, a selective gate network, and an attention equipped decoder. The sentence encoder and decoder …

Neural Document Summarization by Jointly Learning to Score and Select Sentences

2018

Sentence scoring and sentence selection are two main steps in extractive document summarization systems. However, previous works treat them as two separated subtasks. In this paper, we present a novel end-to-end neural network framework for …