Neural Headline Generation with Sentence-wise Optimization
arXiv: Computation and Language, 2016.
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
Full Text (Upload PDF)
PPT (Upload PPT)