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:
For example, (Fang et al., 2001) discusses the evaluation of two different text categorization strategies with several variations of their feature spaces. The bulk of the text categorization work has been devoted to cope with automatic categorization of English and Latin character documents. include decision tree learning and Bayesian learning, nearest neighbor learning, and artificial neural networks, early such works may be found in (Lewis and Ringnette, 1994), (Creecy and Masand, 1992) and (Wiene and Pedersen, 1995), respectively.

Citation Sentence:
For example , ( Fang et al. , 2001 ) discusses the evaluation of two different text categorization strategies with several variations of their feature spaces .

Context after the citation:
A good study comparing document categorization algorithms can be found in (Yang and Liu, 1999). 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). 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.
Background