Cross-lingual Annotation Projection in Legal Texts
Andrea Galassi, Kasper Drazewski, Marco Lippi, Paolo Torroni
Abstract
We study annotation projection in text classification problems where source documents are published in multiple languages and may not be an exact translation of one another. In particular, we focus on the detection of unfair clauses in privacy policies and terms of service. We present the first English-German parallel asymmetric corpus for the task at hand. We study and compare several language-agnostic sentence-level projection methods. Our results indicate that a combination of word embeddings and dynamic time warping performs best.- Anthology ID:
- 2020.coling-main.79
- Volume:
- Proceedings of the 28th International Conference on Computational Linguistics
- Month:
- December
- Year:
- 2020
- Address:
- Barcelona, Spain (Online)
- Editors:
- Donia Scott, Nuria Bel, Chengqing Zong
- Venue:
- COLING
- SIG:
- Publisher:
- International Committee on Computational Linguistics
- Note:
- Pages:
- 915–926
- Language:
- URL:
- https://aclanthology.org/2020.coling-main.79
- DOI:
- 10.18653/v1/2020.coling-main.79
- Cite (ACL):
- Andrea Galassi, Kasper Drazewski, Marco Lippi, and Paolo Torroni. 2020. Cross-lingual Annotation Projection in Legal Texts. In Proceedings of the 28th International Conference on Computational Linguistics, pages 915–926, Barcelona, Spain (Online). International Committee on Computational Linguistics.
- Cite (Informal):
- Cross-lingual Annotation Projection in Legal Texts (Galassi et al., COLING 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2020.coling-main.79.pdf