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:
More recently, (Sebastiani, 2002) has performed a good survey of document categorization; recent works can also be found in (Joachims, 2002), (Crammer and Singer, 2003), and (Lewis et al., 2004). A good study comparing document categorization algorithms can be found in (Yang and Liu, 1999). For example, (Fang et al., 2001) discusses the evaluation of two different text categorization strategies with several variations of their feature spaces.

Citation Sentence:
More recently , ( Sebastiani , 2002 ) has performed a good survey of document categorization ; recent works can also be found in ( Joachims , 2002 ) , ( Crammer and Singer , 2003 ) , and ( Lewis et al. , 2004 ) .

Context after the citation:
Concerning Arabic, one automatic categorizer has been reported to have been put under operational use to classify Arabic documents; it is referred to as &quot;Sakhr's categorizer&quot; (Sakhr, 2004). Unfortunately, there is no technical documentation or specification concerning this Arabic categorizer. Sakhr's marketing literature claims that this categorizer is based on Arabic morphology and some research that has been carried out on natural language processing. The present work evaluates the performance on Arabic documents of the NaÃ¯ve Bayes algorithm (NB) one of the simplest algorithms applied to English document categorization (Mitchell, 1997).
Background