projects:swe:start
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projects:swe:start [2015/05/29 15:14] – hj | projects:swe:start [2015/09/22 01:20] (current) – hj | ||
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into the popular data-driven learning process of word embeddings to improve the | 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 | 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 | (SWE) as a constrained optimization problem, where the data-derived objective | ||
function is optimized subject to all ordinal knowledge inequality constraints | 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 | solved by the stochastic gradient descent (SGD) algorithm, even for a large | ||
number of inequality constraints. | number of inequality constraints. | ||
- | \\ | ||
- | **Reference: | ||
- | \\ | ||
- | [1] //Quan Liu, Hui Jiang, Si Wei, Zhen-Hua Ling and Yu Hu//, " | ||
- | Project website: | + | **Project website:** |
- | * Code and resource download at [[http:// | + | * Code and resource download at [[http:// |
- | * [[ https:// | + | |
+ | |||
+ | **Reference: | ||
+ | |||
+ | |||
+ | [1] //Quan Liu, Hui Jiang, Si Wei, Zhen-Hua Ling and Yu Hu//, " | ||
+ |
projects/swe/start.1432912465.txt.gz · Last modified: 2015/05/29 15:14 by hj