@inproceedings{lioudakis-etal-2020-ensemble,
title = "{A}n Ensemble Method for Producing Word Representations focusing on the {G}reek Language",
author = "Lioudakis, Michalis and
Outsios, Stamatis and
Vazirgiannis, Michalis",
editor = "Karakanta, Alina and
Ojha, Atul Kr. and
Liu, Chao-Hong and
Abbott, Jade and
Ortega, John and
Washington, Jonathan and
Oco, Nathaniel and
Lakew, Surafel Melaku and
Pirinen, Tommi A and
Malykh, Valentin and
Logacheva, Varvara and
Zhao, Xiaobing",
booktitle = "Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages",
month = dec,
year = "2020",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.loresmt-1.13/",
doi = "10.18653/v1/2020.loresmt-1.13",
pages = "99--107",
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."
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%0 Conference Proceedings
%T An Ensemble Method for Producing Word Representations focusing on the Greek Language
%A Lioudakis, Michalis
%A Outsios, Stamatis
%A Vazirgiannis, Michalis
%Y Karakanta, Alina
%Y Ojha, Atul Kr.
%Y Liu, Chao-Hong
%Y Abbott, Jade
%Y Ortega, John
%Y Washington, Jonathan
%Y Oco, Nathaniel
%Y Lakew, Surafel Melaku
%Y Pirinen, Tommi A.
%Y Malykh, Valentin
%Y Logacheva, Varvara
%Y Zhao, Xiaobing
%S Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages
%D 2020
%8 December
%I Association for Computational Linguistics
%C Suzhou, China
%F lioudakis-etal-2020-ensemble
%X 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.
%R 10.18653/v1/2020.loresmt-1.13
%U https://aclanthology.org/2020.loresmt-1.13/
%U https://doi.org/10.18653/v1/2020.loresmt-1.13
%P 99-107
Markdown (Informal)
[An Ensemble Method for Producing Word Representations focusing on the Greek Language](https://aclanthology.org/2020.loresmt-1.13/) (Lioudakis et al., LoResMT 2020)
ACL