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Speer, R., and Havasi, C. 2012. Conceptnet 5. TinyToCS 1. Sun, F.; Guo, J.; Lan, Y.; Xu, J.; and Cheng, X. 2016. Inside out: two jointly predictive models for word representations and phrase representations. In Proceedings of AAAI'2016, 2821--2827."},{"key":"e_1_3_2_1_39_1","volume-title":"Proceedings of NAACL-HLT'2016","author":"Suster S.","year":"2016","unstructured":"Suster , S. ; Titov , I. ; and van Noord , G. 2016 . Bilingual learning of multi-sense embeddings with discrete autoencoders . In Proceedings of NAACL-HLT'2016 , 1346--1356. Suster, S.; Titov, I.; and van Noord, G. 2016. Bilingual learning of multi-sense embeddings with discrete autoencoders. In Proceedings of NAACL-HLT'2016, 1346--1356."},{"volume-title":"Proceedings of NIPS'2014","author":"Sutskever I.","key":"e_1_3_2_1_40_1","unstructured":"Sutskever , I. ; Vinyals , O. ; and Le , Q. V . 2014. Sequence to sequence learning with neural networks . In Proceedings of NIPS'2014 , 3104--3112. 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