{
    "author": null,
    "date_published": "2019-02-25T20:19:00.000Z",
    "dek": null,
    "direction": "ltr",
    "domain": "arxiv.org",
    "excerpt": "We introduce a novel method for multilingual transfer that utilizes deep contextual embeddings, pretrained in an unsupervised fashion. While contextual embeddings have been shown to yield richer…",
    "lead_image_url": "https://static.arxiv.org/icons/twitter/arxiv-logo-twitter-square.png",
    "next_page_url": null,
    "rendered_pages": 1,
    "title": "Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing",
    "total_pages": 1,
    "url": "https://arxiv.org/abs/1902.09492v2",
    "word_count": 146
}