Name
Title | ||
|---|---|---|
Dependency-based semantic role labeling using sequence labeling with a structural SVM |
Abstract | ||
|---|---|---|
Semantic Role Labeling (SRL) systems aim at determining the semantic role labels of the arguments of the predicates in natural language text. SRL systems can usually be built to work upon the result of constitient analysis (constituent-based), or dependency parsing (dependency-based). SRL systems can use either classification or sequence labeling as the main processing mechanism. In this paper, we show that a dependency-based SRL system using sequence labeling can achieve state-of-the-art performance when a new structural SVM adapted from the Pegasos algorithm is exploited for performing sequence labeling. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.patrec.2013.01.022 | Pattern Recognition Letters |
Keywords | Field | DocType |
dependency-based semantic role,new structural svm,dependency parsing,semantic role,dependency-based srl system,constitient analysis,semantic role label,natural language text,srl system,pegasos algorithm,main processing mechanism,semantic role labeling,natural language,sequence labeling | Sequence labeling,Pattern recognition,Computer science,Support vector machine,Dependency grammar,Natural language,Artificial intelligence,Natural language processing,Predicate (grammar),Semantic role labeling | Journal |
Volume | Issue | ISSN |
34 | 6 | 0167-8655 |
Citations | PageRank | References |
2 | 0.36 | 32 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soojong Lim | 1 | 36 | 2.80 |
| Changki Lee | 2 | 279 | 26.18 |
| Dong-yul Ra | 3 | 35 | 5.47 |