Universal sentence encoder
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Note
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License
The universal-sentence-encoder-multilingual model with weights is released by Google, under the Apache License, Version 2.0.
The weights are pre-trained by Google on the Stanford Natural Language Inference (SNLI) corpus, licensed under CC BY-SA 4.0.
References
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Yinfei Yang, Daniel Cer, Amin Ahmad, Mandy Guo, Jax Law, Noah Constant, Gustavo Hernandez Abrego , Steve Yuan, Chris Tar, Yun-hsuan Sung, Ray Kurzweil. Multilingual Universal Sentence Encoder for Semantic Retrieval. July 2019
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Muthuraman Chidambaram, Yinfei Yang, Daniel Cer, Steve Yuan, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil. Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model. To appear, Repl4NLP@ACL, July 2019.
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Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015. A large annotated corpus for learning natural language inference. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP).