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    <abstract>Neural vector representations are now ubiquitous in all subfields of natural language processing and text mining. While methods such as word2vec and GloVe are well-known, this tutorial focuses on multilingual and cross-lingual vector representations, of words, but also of sentences and documents as well.</abstract>
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%0 Conference Proceedings
%T Multilingual Vector Representations of Words, Sentences, and Documents
%A de Melo, Gerard
%Y Kurohashi, Sadao
%Y Strube, Michael
%S Proceedings of the IJCNLP 2017, Tutorial Abstracts
%D 2017
%8 November
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F de-melo-2017-multilingual
%X Neural vector representations are now ubiquitous in all subfields of natural language processing and text mining. While methods such as word2vec and GloVe are well-known, this tutorial focuses on multilingual and cross-lingual vector representations, of words, but also of sentences and documents as well.
%U https://aclanthology.org/I17-5002
%P 3-5

Markdown (Informal)

[Multilingual Vector Representations of Words, Sentences, and Documents](https://aclanthology.org/I17-5002) (de Melo, IJCNLP 2017)

• Multilingual Vector Representations of Words, Sentences, and Documents (de Melo, IJCNLP 2017)

ACL

• Gerard de Melo. 2017. Multilingual Vector Representations of Words, Sentences, and Documents. In Proceedings of the IJCNLP 2017, Tutorial Abstracts, pages 3–5, Taipei, Taiwan. Asian Federation of Natural Language Processing.