Neural Sentence Ordering

07/23/2016
by   Xinchi Chen, et al.
0

Sentence ordering is a general and critical task for natural language generation applications. Previous works have focused on improving its performance in an external, downstream task, such as multi-document summarization. Given its importance, we propose to study it as an isolated task. We collect a large corpus of academic texts, and derive a data driven approach to learn pairwise ordering of sentences, and validate the efficacy with extensive experiments. Source codes and dataset of this paper will be made publicly available.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset