Yun-Hsuan Sung
5 papers in the PaperMetrix corpus
Papers by this author
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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 …
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Effective Parallel Corpus Mining using Bilingual Sentence Embeddings
2018
Mandy Guo, Qinlan Shen, Yinfei Yang, Heming Ge, Daniel Cer, Gustavo Hernandez Abrego, Keith Stevens, Noah Constant, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil. Proceedings of the Third Conference on Machine Translation: Research Papers. 2018.
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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.
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Multilingual Universal Sentence Encoder for Semantic Retrieval
2020
Yinfei Yang, Daniel Cer, Amin Ahmad, Mandy Guo, Jax Law, Noah Constant, Gustavo Hernandez Abrego, Steve Yuan, Chris Tar, Yun-hsuan Sung, Brian Strope, Ray Kurzweil. Proceedings of the 58th Annual Meeting of the Association for …
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LongT5: Efficient Text-To-Text Transformer for Long Sequences
2022 · Findings of the Association for Computational Linguistics: NAACL 2022
Recent work has shown that either (1) increasing the input length or (2) increasing model size can improve the performance of Transformer-based neural models. In this paper, we present LongT5, a new model that explores …