Neural Readability Pairwise Ranking for Sentences in Italian Administrative Language
Martina Miliani, Serena Auriemma, Fernando Alva-Manchego, Alessandro Lenci
Abstract
Automatic Readability Assessment aims at assigning a complexity level to a given text, which could help improve the accessibility to information in specific domains, such as the administrative one. In this paper, we investigate the behavior of a Neural Pairwise Ranking Model (NPRM) for sentence-level readability assessment of Italian administrative texts. To deal with data scarcity, we experiment with cross-lingual, cross- and in-domain approaches, and test our models on Admin-It, a new parallel corpus in the Italian administrative language, containing sentences simplified using three different rewriting strategies. We show that NPRMs are effective in zero-shot scenarios (~0.78 ranking accuracy), especially with ranking pairs containing simplifications produced by overall rewriting at the sentence-level, and that the best results are obtained by adding in-domain data (achieving perfect performance for such sentence pairs). Finally, we investigate where NPRMs failed, showing that the characteristics of the training data, rather than its size, have a bigger effect on a model’s performance.- Anthology ID:
- 2022.aacl-main.63
- Volume:
- Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Month:
- November
- Year:
- 2022
- Address:
- Online only
- Editors:
- Yulan He, Heng Ji, Sujian Li, Yang Liu, Chua-Hui Chang
- Venues:
- AACL | IJCNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 849–866
- Language:
- URL:
- https://aclanthology.org/2022.aacl-main.63
- DOI:
- Cite (ACL):
- Martina Miliani, Serena Auriemma, Fernando Alva-Manchego, and Alessandro Lenci. 2022. Neural Readability Pairwise Ranking for Sentences in Italian Administrative Language. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 849–866, Online only. Association for Computational Linguistics.
- Cite (Informal):
- Neural Readability Pairwise Ranking for Sentences in Italian Administrative Language (Miliani et al., AACL-IJCNLP 2022)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2022.aacl-main.63.pdf