Using Machine Translation to Localize Task Oriented NLG Output

no code implementations • 9 Jul 2021 • Scott Roy, Cliff Brunk, Kyu-Young Kim, Justin Zhao, Markus Freitag, Mihir Kale, Gagan Bansal, Sidharth Mudgal, Chris Varano

One of the challenges in a task oriented natural language application like the Google Assistant, Siri, or Alexa is to localize the output to many languages.

Domain Adaptation Machine Translation +1

Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study

no code implementations • 17 Aug 2020 • Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Cliff Brunk, Andrew Tomkins

Large generative language models such as GPT-2 are well-known for their ability to generate text as well as their utility in supervised downstream tasks via fine-tuning.

Multilingual Language Processing From Bytes

no code implementations • NAACL 2016 • Dan Gillick, Cliff Brunk, Oriol Vinyals, Amarnag Subramanya

We describe an LSTM-based model which we call Byte-to-Span (BTS) that reads text as bytes and outputs span annotations of the form [start, length, label] where start positions, lengths, and labels are separate entries in our vocabulary.

named-entity-recognition Named Entity Recognition +2