Multilingual Vector Representations of Words, Sentences, and Documents

摘要

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, multilingual and cross-lingual vector representations have also become important. In particular, such representations can not only describe words, but also of entire sentences and documents as well.