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:
None

Context before the citation:
This confirms that although Kozima's approach (Kozima, 1993) is computationally expensive, it does produce more precise segmentation. Our spread activation based semantic measure (R98(â,sa)) improved accuracy. The cosine coefficient (R98(s,â0) and dot density measure (R98(m,doo ) yield similar results.

Citation Sentence:
This confirms that although Kozima 's approach ( Kozima , 1993 ) is computationally expensive , it does produce more precise segmentation .

Context after the citation:
The most significant improvement was due to our ranking scheme which linearises the cosine coefficient,. Our experiments demonstrate that given insufficient data, the qualitative behaviour of the cosine measure is indeed more reliable than the actual values. Although our evaluation scheme is sufficient for this comparative study, further research requires a large scale, task independent benchmark. It would be interesting to compare C99 with the multi-source method described in (Beeferman et al., 1999) using the TDT corpus.
CompareOrContrast