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--- projects:swe:start [2015/05/29 14:58] – created hj
+++ projects:swe:start [2015/09/22 01:20] (current) – hj
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 ====== Semantic Word Embedding ======
+===== Semantic Word Embedding =====
+{{:projects:swe:fig-main-framework.png?0x220|SWE Framework}}
+\\
+In this project, we propose a general framework to incorporate semantic knowledge
+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
+(SWE) as a constrained optimization problem, where the data-derived objective
+function is optimized subject to all ordinal knowledge inequality constraints
+extracted from available knowledge resources such as Thesaurus and Word-Net. We have demonstrated that this constrained optimization problem can be efficiently
+solved by the stochastic gradient descent (SGD) algorithm, even for a large
+number of inequality constraints.
+**Project website:**
+  * Code and resource download at [[http://home.ustc.edu.cn/~quanliu|USTC]]  or [[ 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]])