35 citations · 65 across the 6 of their papers we have counts for
6 papers · 1 filter
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings
Phillip Keung, Julian Salazar, Yichao Lu +1
We describe an unsupervised method to create pseudo-parallel corpora for machine translation (MT) from unaligned text. We use multilingual BERT to create source and target sentence…
The Multilingual Amazon Reviews Corpus
Phillip Keung, Yichao Lu, György Szarvas +1
We present the Multilingual Amazon Reviews Corpus (MARC), a large-scale collection of Amazon reviews for multilingual text classification. The corpus contains reviews in English, J…
Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings
Phillip Keung, Yichao Lu, Julian Salazar +1
Multilingual contextual embeddings have demonstrated state-of-the-art performance in zero-shot cross-lingual transfer learning, where multilingual BERT is fine-tuned on one source…
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER
Phillip Keung, Yichao Lu, Vikas Bhardwaj
Contextual word embeddings (e.g. GPT, BERT, ELMo, etc.) have demonstrated state-of-the-art performance on various NLP tasks. Recent work with the multilingual version of BERT has s…
A neural interlingua for multilingual machine translation
Yichao Lu, Phillip Keung, Faisal Ladhak +3
We incorporate an explicit neural interlingua into a multilingual encoder-decoder neural machine translation (NMT) architecture. We demonstrate that our model learns a language-ind…
A practical approach to dialogue response generation in closed domains
Yichao Lu, Phillip Keung, Shaonan Zhang +2
We describe a prototype dialogue response generation model for the customer service domain at Amazon. The model, which is trained in a weakly supervised fashion, measures the simil…