@inproceedings{dufter-etal-2018-embedding,
title = "Embedding Learning Through Multilingual Concept Induction",
author = {Dufter, Philipp and
Zhao, Mengjie and
Schmitt, Martin and
Fraser, Alexander and
Sch{\"u}tze, Hinrich},
editor = "Gurevych, Iryna and
Miyao, Yusuke",
booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P18-1141",
doi = "10.18653/v1/P18-1141",
pages = "1520--1530",
abstract = "We present a new method for estimating vector space representations of words: embedding learning by concept induction. We test this method on a highly parallel corpus and learn semantic representations of words in 1259 different languages in a single common space. An extensive experimental evaluation on crosslingual word similarity and sentiment analysis indicates that concept-based multilingual embedding learning performs better than previous approaches.",
}
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%0 Conference Proceedings
%T Embedding Learning Through Multilingual Concept Induction
%A Dufter, Philipp
%A Zhao, Mengjie
%A Schmitt, Martin
%A Fraser, Alexander
%A Schütze, Hinrich
%Y Gurevych, Iryna
%Y Miyao, Yusuke
%S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F dufter-etal-2018-embedding
%X We present a new method for estimating vector space representations of words: embedding learning by concept induction. We test this method on a highly parallel corpus and learn semantic representations of words in 1259 different languages in a single common space. An extensive experimental evaluation on crosslingual word similarity and sentiment analysis indicates that concept-based multilingual embedding learning performs better than previous approaches.
%R 10.18653/v1/P18-1141
%U https://aclanthology.org/P18-1141
%U https://doi.org/10.18653/v1/P18-1141
%P 1520-1530
Markdown (Informal)
[Embedding Learning Through Multilingual Concept Induction](https://aclanthology.org/P18-1141) (Dufter et al., ACL 2018)
ACL
- Philipp Dufter, Mengjie Zhao, Martin Schmitt, Alexander Fraser, and Hinrich Schütze. 2018. Embedding Learning Through Multilingual Concept Induction. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1520–1530, Melbourne, Australia. Association for Computational Linguistics.
