CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation Identification
Lennart Wachowiak, Christian Lang, Barbara Heinisch, Dagmar Gromann
Abstract
We describe our submission to the CogALex-VI shared task on the identification of multilingual paradigmatic relations building on XLM-RoBERTa (XLM-R), a robustly optimized and multilingual BERT model. In spite of several experiments with data augmentation, data addition and ensemble methods with a Siamese Triple Net, Translrelation, the XLM-R model with a linear classifier adapted to this specific task, performed best in testing and achieved the best results in the final evaluation of the shared task, even for a previously unseen language.- Anthology ID:
- 2020.cogalex-1.7
- Volume:
- Proceedings of the Workshop on the Cognitive Aspects of the Lexicon
- Month:
- December
- Year:
- 2020
- Address:
- Online
- Venue:
- CogALex
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 59–64
- Language:
- URL:
- https://aclanthology.org/2020.cogalex-1.7
- DOI:
- Cite (ACL):
- Lennart Wachowiak, Christian Lang, Barbara Heinisch, and Dagmar Gromann. 2020. CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation Identification. In Proceedings of the Workshop on the Cognitive Aspects of the Lexicon, pages 59–64, Online. Association for Computational Linguistics.
- Cite (Informal):
- CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation Identification (Wachowiak et al., CogALex 2020)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2020.cogalex-1.7.pdf
- Code
- Text2TCS/Transrelation