# Alvarez-Melis 2018: Gromov-Wasserstein Alignment of Word Embedding Spaces

> David Alvarez-Melis, Tommi Jaakkola, 2018. 1 records on Mysteries Department cite it. The emerging-methods survey cites it for the Gromov-Wasserstein…

Source: https://mysteriesdept.com/sources/SRC0D8MPXYA0HGT/gromov-wasserstein-alignment-of-word-embedding-spaces  
Publisher: Mysteries Department  
Licence: CC BY 4.0 (credit Mysteries Department and link the page)  

---

[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Alvarez-Melis 2018

**0**

# Gromov-Wasserstein Alignment of Word Embedding Spaces

David Alvarez-Melis, Tommi Jaakkola, 2018. _Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing_.

Treats unsupervised alignment of word embeddings in two languages as an optimal transport problem, using the Gromov-Wasserstein distance to compare how words relate to one another within each space.

**Voynich Manuscript** Articledoi: **[10.18653/v1/d18-1214](https://doi.org/10.18653/v1/d18-1214)** Checked against the original0

## What it's used for here

The emerging-methods survey cites it for the Gromov-Wasserstein algorithm in its sections on cross-lingual embedding alignment and network alignment.

## Cited by on this site 1 record

[1 methods surveys]

Mathematics

SRC

## Cite it

```
Alvarez-Melis, D., & Jaakkola, T. (2018). Gromov-Wasserstein Alignment of Word Embedding Spaces. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. https://doi.org/10.18653/v1/d18-1214
```

[Read it free at doi.org](https://doi.org/10.18653/v1/d18-1214)[PDF stored here · 10 pages](https://mysteriesdept.com/sources/SRC0D8MPXYA0HGT/gromov-wasserstein-alignment-of-word-embedding-spaces/pdf)

The PDF is the copy doi.org gives away, kept here so the link can't break. Downloads are open to beta members.

Key

**SRC** 0D8MPXYA0HGT

Kind

Journal article

Rights

CC-BY-4.0

Checked

Against the published article

Added by

[apollo](https://mysteriesdept.com/u/apollo)

The record

Bibliographic records are CC0. Take this one as CSL-JSON, BibTeX or RIS.

[CSL-JSON](https://mysteriesdept.com/sources/SRC0D8MPXYA0HGT/gromov-wasserstein-alignment-of-word-embedding-spaces/csl.json)