EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing

ACL 2019 Yue DongZichao LiMehdi RezagholizadehJackie Chi Kit Cheung

We present the first sentence simplification model that learns explicit edit operations (ADD, DELETE, and KEEP) via a neural programmer-interpreter approach. Most current neural sentence simplification systems are variants of sequence-to-sequence models adopted from machine translation... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.