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Word Rotator's Distance

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# WRD: Word Rotator's Distance

This is an implementation of *word rotator's distance (WRD)*, a simple yet effective textual similarity measure based on optimal transport, presented at EMNLP 2020.
The paper is [available online](https://arxiv.org/abs/2004.15003).

## Code

More details coming soon!

Several researchers have published reimplementations in Python:
- Thank [@bojone](https://github.com/bojone) for writing [a blog article with Python code in Chinese :cn:](https://kexue.fm/archives/7388).
- Thank [@kenta1984](https://github.com/kenta1984) for writing [Python code](https://github.com/kenta1984/wrd) and [a blog article in Japanese :jp:](https://qiita.com/kenta1984/items/bad7e2f68331849d0053).

## Paper

Currently, the latest version is available on [arXiv](https://arxiv.org/abs/2004.15003) and [ACL anthology (v2)](https://www.aclweb.org/anthology/2020.emnlp-main.236/).

If you use our code for academic work, please cite

```
@inproceedings{yokoi-emnlp2020-wrd,
    title = "Word Rotator{'}s Distance",
    author = "Yokoi, Sho  and
      Takahashi, Ryo  and
      Akama, Reina  and
      Suzuki, Jun  and
      Inui, Kentaro",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.emnlp-main.236",
    doi = "10.18653/v1/2020.emnlp-main.236",
    pages = "2944--2960",
}
```

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