Answers.Body: <p>The blog post <a href="https://ruder.io/unsupervised-cross-lingual-learning/" rel="nofollow noreferrer">Unsupervised Cross-lingual Representation Learning</a> (2019), the related <a href="https://www.aclweb.org/anthology/P19-4007.pdf" rel="nofollow noreferrer">paper</a> and <a href="https://docs.google.com/presentation/d/1miPu0hkBFSRTAxP-Psg0xXOvAbVSJPhQXehMQdUI88I/edit#slide=id.g5cacfdb6b8_1_137" rel="nofollow noreferrer">slides</a> by Sebastian Ruder (a researcher currently at DeepMind) summarize what you are looking for. In fact, the authors write</p>
  
  <blockquote>
    <p>We will introduce researchers to <strong>state-of-the-art</strong> methods for constructing resource-light cross-lingual word representations and discuss their applicability in a broad range of downstream NLP applications, covering bilingual lexicon induction, machine translation (both neural and phrase-based), dialogue, and information retrieval tasks. We will deliver a detailed survey of the <strong>current cutting-edge methods</strong>, discuss best training and evaluation practices and usecases, and provide links to publicly available implementations, datasets, and pretrained models and word embedding collections.</p>
  </blockquote>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-03-16T23:07:20.937Z
Answers.Text: Maybe later I will update this answer with a list of the SOTA methods/approaches.
Answers.UserDisplayName: nbro
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-03-16T22:35:27.053Z
Answers.LastActivityDate: 2020-03-16T22:35:27.053Z
Answers.UserDisplayName: nbro
Body: <p>What is the current state-of-the-art in unsupervised cross-lingual representation learning?</p>
  
Tags: <natural-language-processing><reference-request><models><state-of-the-art>
Title: What is the current state-of-the-art in unsupervised cross-lingual representation learning?
UserDisplayName: DRV
ThreadText: # What is the current state-of-the-art in unsupervised cross-lingual representation learning?
  
  (Asked by: username_0 on 2020-03-13)
  
  What is the current state-of-the-art in unsupervised cross-lingual representation learning?
  
  **Tags:** natural-language-processing, reference-request, models, state-of-the-art
  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2020-03-16. Score: 1 | Accepted answer
  
  The blog post [Unsupervised Cross-lingual Representation Learning](https://ruder.io/unsupervised-cross-lingual-learning/) (2019), the related [paper](https://www.aclweb.org/anthology/P19-4007.pdf) and [slides](https://docs.google.com/presentation/d/1miPu0hkBFSRTAxP-Psg0xXOvAbVSJPhQXehMQdUI88I/edit#slide=id.g5cacfdb6b8_1_137) by Sebastian Ruder (a researcher currently at DeepMind) summarize what you are looking for. In fact, the authors write
  
  > We will introduce researchers to **state-of-the-art** methods for constructing resource-light cross-lingual word representations and discuss their applicability in a broad range of downstream NLP applications, covering bilingual lexicon induction, machine translation (both neural and phrase-based), dialogue, and information retrieval tasks. We will deliver a detailed survey of the **current cutting-edge methods**, discuss best training and evaluation practices and usecases, and provide links to publicly available implementations, datasets, and pretrained models and word embedding collections.
  
  > **Comments:**
  > **username_1**: Maybe later I will update this answer with a list of the SOTA methods/approaches.  
  
  ---
  
  