arXiv
Open Access
2020
Iterative Edit-Based Unsupervised Sentence Simplification
Dhruv Kumar
Lili Mou
Lukasz Golab
Olga Vechtomova
Abstrak
We present a novel iterative, edit-based approach to unsupervised sentence simplification. Our model is guided by a scoring function involving fluency, simplicity, and meaning preservation. Then, we iteratively perform word and phrase-level edits on the complex sentence. Compared with previous approaches, our model does not require a parallel training set, but is more controllable and interpretable. Experiments on Newsela and WikiLarge datasets show that our approach is nearly as effective as state-of-the-art supervised approaches.
Topik & Kata Kunci
Penulis (4)
D
Dhruv Kumar
L
Lili Mou
L
Lukasz Golab
O
Olga Vechtomova
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2020
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓