NLPIR SEMINAR Y2019#4
In the new semester, our Lab, Web Search Mining and Security Lab, plans to hold an academic seminar every Monday, and each time a keynote speaker will share understanding of papers on his/her related research with you.
This week’s seminar is organized as follows:
- The seminar time is 1.pm, Mon, at Zhongguancun Technology Park ,Building 5, 1306.
- The lecturer is Xi Zhang, the paper’s title is A Selectable and Interactive Model for Abstractive Summarization.
- The seminar will be hosted by Qinghong Jiang.
- Attachment is the paper of this seminar, please download in advance.
Anyone interested in this topic is welcomed to join us.
the following is the abstract for this week’s paper.
A Selectable and Interactive Model for Abstractive Summarization
Sequence-to-sequence neural networks with
attention have been widely used in text summarization as the amount of textual
data has exploded in recent years. The traditional approach to automatic
sum-marization is based only on word attention and most of them focus on
generating a single sentence summarization. In this work, we propose a novel
model with a dual attention that considers both sentence and word information
and then generates a multi-sentence summarization word by word. Additionally,
we enhance our model with a copy-generator network to solve the
out-of-vocabulary (OOV) problem. The model shows signif-icant performance gains
on the CNN/DailyMail corpus compared with the baseline model. Experimental
results demonstrate that our method can obtain ROUGE-1 points of 37.48, ROUGE-2
points of 16.40 and ROUGE-L points of 34.36. Our work shows that several
features of our proposed model contribute to further improvements in