You will be presented with a citation segment from the section of an NLP research paper, as well as the context surrounding that citation. Classify the intent behind this citation by choosing from one of the following categories:
- Background: provides context or foundational information related to the topic.
- Extends: builds upon the cited work.
- Uses: applies the methods or findings of the cited work.
- Motivation: cites the work as inspiration or rationale for the research.
- CompareOrContrast: compares or contrasts the cited work with others.
- FutureWork: cites the work as a direction for future research.

Your answer should be a single word from the following list of options: ["Background", "Extends", "Uses", "Motivation", "CompareOrContrast", "FutureWork"]. Do not include any other text in your response.

Section Title:
related work

Context before the citation:
Nivre (2008) reports experiments on Arabic parsing using his MaltParser (Nivre et al. 2007), trained on the PADT. Recently, Green and Manning (2010) analyzed the PATB for annotation consistency, and introduced an enhanced split-state constituency grammar, including labels for short idafa constructions and verbal or equational clauses. As for work on Arabic (MSA), results have been reported on the PATB (Kulick, Gabbard, and Marcus 2006; Diab 2007; Green and Manning 2010), the Prague Dependency Treebank (PADT) (Buchholz and Marsi 2006; Nivre 2008) and the CATiB (Habash and Roth 2009).

Citation Sentence:
Nivre ( 2008 ) reports experiments on Arabic parsing using his MaltParser ( Nivre et al. 2007 ) , trained on the PADT .

Context after the citation:
His results are not directly comparable to ours because of the different treebank representations, even though all the experiments reported here were performed using the MaltParser. Our results agree with previous work on Arabic and Hebrew in that marking the definite article is helpful for parsing. We go beyond previous work, however, and explore additional lexical and inflectional features. Previous work with MaltParser in Russian, Turkish, and Hindi showed gains with CASE but not with agreement features (Eryigit, Nivre, and Oflazer 2008; Nivre, Boguslavsky, and Iomdin 2008; Nivre 2009).
Background