Crosslingual Document Embedding as Reduced-Rank Ridge Regression-Reference-Cited by-同舟云学术

Crosslingual Document Embedding as Reduced-Rank Ridge Regression

Published:2019-01-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining
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Author:

Josifoski Martin¹,Paskov Ivan S.²,Paskov Hristo S.³,Jaggi Martin¹,West Robert¹

Affiliation:

1. EPFL, Lausanne, Switzerland

2. MIT, Cambridge, MA, USA

3. BlackRock, Palo Alto, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3289600.3291023

Reference37 articles.

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2. Waleed Ammar George Mulcaire Yulia Tsvetkov Guillaume Lample Chris Dyer and Noah A Smith. 2016. Massively multilingual word embeddings. arXiv preprint arXiv:1602.01925 (2016). Waleed Ammar George Mulcaire Yulia Tsvetkov Guillaume Lample Chris Dyer and Noah A Smith. 2016. Massively multilingual word embeddings. arXiv preprint arXiv:1602.01925 (2016).

3. Learning principled bilingual mappings of word embeddings while preserving monolingual invariance

4. Learning bilingual word embeddings with (almost) no bilingual data

5. Jan Buys and Jan A Botha. 2016. Cross-lingual morphological tagging for low-resource languages. arXiv preprint arXiv:1606.04279 (2016). Jan Buys and Jan A Botha. 2016. Cross-lingual morphological tagging for low-resource languages. arXiv preprint arXiv:1606.04279 (2016).

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