Neural Headline Generation with Sentence-wise Optimization

arXiv: Computation and Language, 2016.

Cited by: 0|Bibtex|Views22|

Abstract:

Recently, neural models have been proposed for headline generation by learning to map documents to headlines with recurrent neural networks. Nevertheless, as traditional neural network utilizes maximum likelihood estimation for parameter optimization, it essentially constrains the expected training objective within word level rather than ...More

Code:

Data:

Your rating :
0

 

Tags
Comments