[Adapt] [Seminar] Deep Attentive Sentence Ordering Network

[Yizhu Liu]

Hi Adapters,


I will give a talk about paper  "Deep Attentive Sentence Ordering Network" which is accepted by emnlp 2018.


In this paper, they propose a novel deep attentive sentence ordering network (referred as ATTOrderNet) which integrates self-attention mechanism with LSTMs in the encoding of input sentences. It enables us to capture global dependencies among sentences regardless of their input order and obtains a reliable representation of the sentence set. With this representation, a pointer network is exploited to generate an ordered sequence. The proposed model is evaluated on Sentence Ordering and Order Discrimination tasks. The extensive experimental results demonstrate its effectiveness and superiority to the state-of-the-art methods.


Time: 17:00 April 24
Venue: SEIEE 3-414


Best,
Yizhu
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://cs.sjtu.edu.cn/pipermail/adapt/attachments/20190424/55351dec/attachment.html>