Everything you need for text simplification, reconstruct phrasal texture, rephrase and increase readability.
These are techniques for simplifiying sentences:
- Discourse
- OpenIE6
- BiSECT
- Lexical simplification
- Controllable Simplification
- Neural Text Simplification
Metrics to measure the performance of sentence simplifications:
- Sari
- Bleu
git clone https://github.com/sadakmed/simplify.git
cd simplify/
pip install -r requirements.txt
pip install .from simplify.simplifiers import DiscourseSimplification
discourse = DiscourseSimplification()
simple_output = discourse(complex_sentence_list)@InProceedings{cetto2018graphene,
author = {Matthias Cetto and Christina Niklaus and Andr\'{e} Freitas and Siegfried Handschuh},
title = {Graphene: Semantically-Linked Propositions in Open Information Extraction},
booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
year = {2018},
publisher = {Association for Computational Linguistics},
pages = {2300--2311},
location = {Santa Fe, New Mexico, USA},
url = {http://aclweb.org/anthology/C18-1195}
}
@inproceedings{kolluru&al20,
title = "{O}pen{IE}6: {I}terative {G}rid {L}abeling and {C}oordination {A}nalysis for {O}pen {I}nformation {E}xtraction",\
author = "Kolluru, Keshav and
Adlakha, Vaibhav and
Aggarwal, Samarth and
Mausam, and
Chakrabarti, Soumen",
booktitle = "The 58th Annual Meeting of the Association for Computational Linguistics (ACL)",
month = July,
year = "2020",
address = {Seattle, U.S.A}
}