Name
Title | ||
|---|---|---|
A Feature Space Expression to Analyze Dependency of Korean Clauses with a Composite Kernel |
Abstract | ||
|---|---|---|
Analyzing of dependency relation among clauses is one of the most critical parts in parsing Korean sentences because it generatessevere ambiguities. To get successful results of analyzing dependency relation, this task has been the target of various machinelearning methods including SVM. Especially, kernel methods are usually used to analyze dependency relation and it is reportedthat they show high performance. This paper proposes an expression for dependency analysis of Korean clauses. The proposedexpression adopts a composite kernel to obtain the similarity among clauses. The composite kernel consists of a parse treekernel and a liner kernel. A parse tree kernel is used for treating structure information and a liner kernel is applied forusing lexical information. The proposed expression is defined as three types. One is a expression of layers in clause, anotheris relation expression between clause and the other is an expression of inner clause. The expriment is processed by two stepsthat first is a relation expression between clauses and the second is a expression of inner clauses. The experimental resultsshow that the proposed expression achieves 82.12% of accuracy. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ALPIT.2007.29 | ALPIT |
Keywords | Field | DocType |
composite kernel,dependency analysis,kernel method,analyze dependency,anotheris relation expression,parse tree kernel,proposed expression,relation expression,korean clauses,dependency relation,liner kernel,feature space expression,inner clause,support vector machines,kernel,space technology,information technology,dependence analysis,feature space,machine learning,information analysis,natural languages | Dependency relation,Parse tree,Pattern recognition,Kernel embedding of distributions,Computer science,Support vector machine,Tree kernel,Polynomial kernel,Artificial intelligence,Natural language processing,Kernel method,String kernel | Conference |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sang-Soo Kim | 1 | 22 | 6.25 |
| Seong-Bae Park | 2 | 311 | 47.31 |
| Sangjo Lee | 3 | 110 | 19.15 |
| Kweon Yang Kim | 4 | 9 | 2.66 |