Sheng-yi Kong

Universal Sentence Encoder

2018 · arXiv (Cornell University)

We present models for encoding sentences into embedding vectors that specifically target transfer learning to other NLP tasks. The models are efficient and result in accurate performance on diverse transfer tasks. Two variants of the …

Universal Sentence Encoder for English

2018

Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Brian Strope, Ray Kurzweil. Proceedings of the 2018 Conference on Empirical Methods in Natural …

Learning Semantic Textual Similarity from Conversations

2018

Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil. Proceedings of the Third Workshop on Representation Learning for NLP. 2018.