Thang Luong

Effective Approaches to Attention-based Neural Machine Translation

2015 · arXiv (Cornell University)

An attentional mechanism has lately been used to improve neural machine translation (NMT) by selectively focusing on parts of the source sentence during translation. However, there has been little work exploring useful architectures for attention-based …

A Hierarchical Neural Autoencoder for Paragraphs and Documents

2015 · arXiv (Cornell University)

Jiwei Li, Thang Luong, Dan Jurafsky. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2015.

Addressing the Rare Word Problem in Neural Machine Translation

2015

Thang Luong, Ilya Sutskever, Quoc Le, Oriol Vinyals, Wojciech Zaremba. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long …

Bilingual Word Representations with Monolingual Quality in Mind

2015

Recent work in learning bilingual representations tend to tailor towards achieving good performance on bilingual tasks, most often the crosslingual document classification (CLDC) evaluation, but to the detriment of preserving clustering structures of word representations …

Learning Distributed Representations for Multilingual Text Sequences

2015

We propose a novel approach to learning dis-tributed representations of variable-length text sequences in multiple languages simultane-ously. Unlike previous work which often de-rive representations of multi-word sequences as weighted sums of individual word vec-tors, our …