All-In-1 at IJCNLP-2017 Task 4: Short Text Classification with One Model for All Languages

IJCNLP 2017 Barbara Plank

We present All-In-1, a simple model for multilingual text classification that does not require any parallel data. It is based on a traditional Support Vector Machine classifier exploiting multilingual word embeddings and character n-grams... (read more)

PDF Abstract IJCNLP 2017 PDF IJCNLP 2017 Abstract

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.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet