Jianpeng Cheng

Neural Summarization by Extracting Sentences and Words

2016 · arXiv (Cornell University)

Traditional approaches to extractive summarization rely heavily on human-engineered features. In this work we propose a data-driven approach based on neural networks and continuous sentence features. We develop a general framework for single-document summarization composed …

Long Short-Term Memory-Networks for Machine Reading

2016 · arXiv (Cornell University)

In this paper we address the question of how to render sequence-level networks better at handling structured input. We propose a machine reading simulator which processes text incrementally from left to right and performs shallow …