@inproceedings{de-melo-2017-multilingual,
    title = "Multilingual Vector Representations of Words, Sentences, and Documents",
    author = "de Melo, Gerard",
    editor = "Kurohashi, Sadao  and
      Strube, Michael",
    booktitle = "Proceedings of the {IJCNLP} 2017, Tutorial Abstracts",
    month = nov,
    year = "2017",
    address = "Taipei, Taiwan",
    publisher = "Asian Federation of Natural Language Processing",
    url = "https://aclanthology.org/I17-5002",
    pages = "3--5",
    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.",
}