Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment

14 Oct 2019Piotr BojanowskiOnur CelebiTomas MikolovEdouard GraveArmand Joulin

In this paper, we focus on the problem of adapting word vector-based models to new textual data. Given a model pre-trained on large reference data, how can we adapt it to a smaller piece of data with a slightly different language distribution?.. (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.