Name
Abstract | ||
|---|---|---|
This work introduces a new approach to checking treebank consistency. Derivation trees based on a variant of Tree Adjoining Grammar are used to compare the annotation of word sequences based on their structural similarity. This overcomes the problems of earlier approaches based on using strings of words rather than tree structure to identify the appropriate contexts for comparison. We report on the result of applying this approach to the Penn Arabic Treebank and how this approach leads to high precision of error detection. |
Year | Venue | Keywords |
|---|---|---|
2011 | ACL (Short Papers) | tree structure,structural similarity,appropriate context,error detection,penn arabic treebank,earlier approach,tree adjoining grammar,high precision,new approach,treebank error detection,derivation tree |
Field | DocType | Volume |
Tree-adjoining grammar,Annotation,Arabic,Computer science,Error detection and correction,Treebank,Artificial intelligence,Tree structure,Natural language processing | Conference | P11-2 |
Citations | PageRank | References |
7 | 0.76 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seth Kulick | 1 | 221 | 29.66 |
| Ann Bies | 2 | 136 | 20.02 |
| Justin Mott | 3 | 27 | 4.93 |