Fast Abstractive Summarization-RL
Journal: Association for Computational Linguistics
Programming languages: Python
Project website: https://github.com/ChenRocks/fast_abs_rl
Inspired by how humans summarize long documents, we propose an accurate and fast summarization model that first selects salient sentences and then rewrites them abstractively (i.e., compresses and paraphrases) to generate a concise overall summary. We use a novel sentence-level policy gradient method to bridge the nondifferentiable computation between these two neural networks in a hierarchical way, while maintaining language fluency.