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--- projects:swe:start [2015/05/29 15:14] – hj
+++ projects:swe:start [2015/09/22 01:20] (current) – hj
@@ Line 9: / Line 9: @@
 into the popular data-driven learning process of word embeddings to improve the
 quality of them. Under this framework, we represent semantic knowledge as many
-ordinal ranking inequalities and formulate the learning of semantic word embeddings
+**ordinal ranking inequalities** and formulate the learning of semantic word embeddings
 (SWE) as a constrained optimization problem, where the data-derived objective
 function is optimized subject to all ordinal knowledge inequality constraints
@@ Line 15: / Line 15: @@
 solved by the stochastic gradient descent (SGD) algorithm, even for a large
 number of inequality constraints.
-\\
-**Reference:**
-\\
-[1] //Quan Liu, Hui Jiang, Si Wei, Zhen-Hua Ling and Yu Hu//, "Learning SemanticWord Embeddings based on Ordinal Knowledge Constraints," Proceedings of Proc. of The 53th Annual Meeting of the Association for Computational Linguistics (ACL 2015), July, 2015.
-Project website:
+**Project website:**
-  * Code and resource download at [[http://home.ustc.edu.cn/~quanliu/research-SWE.html|USTC]]
+  * Code and resource download at [[http://home.ustc.edu.cn/~quanliu|USTC]]  or [[ https://github.com/iunderstand/SWE|GitHub site]]
-  * [[ https://github.com/iunderstand/SWE|GitHub site]]
+**Reference:**
+[1] //Quan Liu, Hui Jiang, Si Wei, Zhen-Hua Ling and Yu Hu//, "Learning SemanticWord Embeddings based on Ordinal Knowledge Constraints," Proceedings of The 53th Annual Meeting of the Association for Computational Linguistics (ACL 2015), July, 2015. ([[https://aclweb.org/anthology/P/P15/P15-1145.pdf|here]])