Abstract
In this paper we present a new ensemble method, Continuous Bag-of-Skip-grams (CBOS), that produces high-quality word representations putting emphasis on the Greek language. The CBOS method combines the pioneering approaches for learning word representations: Continuous Bag-of-Words (CBOW) and Continuous Skip-gram. These methods are compared through intrinsic and extrinsic evaluation tasks on three different sources of data: the English Wikipedia corpus, the Greek Wikipedia corpus, and the Greek Web Content corpus. By comparing these methods across different tasks and datasets, it is evident that the CBOS method achieves state-of-the-art performance.- Anthology ID:
- 2020.loresmt-1.13
- Volume:
- Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages
- Month:
- December
- Year:
- 2020
- Address:
- Suzhou, China
- Venue:
- LoResMT
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 99–107
- Language:
- URL:
- https://aclanthology.org/2020.loresmt-1.13
- DOI:
- Cite (ACL):
- Michalis Lioudakis, Stamatis Outsios, and Michalis Vazirgiannis. 2020. An Ensemble Method for Producing Word Representations focusing on the Greek Language. In Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages, pages 99–107, Suzhou, China. Association for Computational Linguistics.
- Cite (Informal):
- An Ensemble Method for Producing Word Representations focusing on the Greek Language (Lioudakis et al., LoResMT 2020)
- PDF:
- https://preview.aclanthology.org/nodalida-main-page/2020.loresmt-1.13.pdf
- Code
- mikeliou/greek_word_embeddings