Multilingual Word Embedding for Zero-Shot Text Classification

• In Event: JSS SESSION: Machine Learning

Brief Overview

In this paper, we develop a novel multitask feed-forward neural network to create multilingual word embeddings that enable both supervised and unsupervised learning using multilingual corpora without translation.

Authors

• Yaoyao Dai, Pennsylvania State University-Main Campus

• Benjamin Radford, Duke University