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.- Anthology ID:
- I17-5002
- Volume:
- Proceedings of the IJCNLP 2017, Tutorial Abstracts
- Month:
- November
- Year:
- 2017
- Address:
- Taipei, Taiwan
- Venue:
- IJCNLP
- SIG:
- Publisher:
- Asian Federation of Natural Language Processing
- Note:
- Pages:
- 3–5
- Language:
- URL:
- https://aclanthology.org/I17-5002
- DOI:
- Cite (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.
- Cite (Informal):
- Multilingual Vector Representations of Words, Sentences, and Documents (de Melo, IJCNLP 2017)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/I17-5002.pdf