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:
Similarly, Cowan and Collins (2005) report that the use of a subset of Spanish morphological features (number for adjectives, determiners, nouns, pronouns, and verbs; and mode for verbs) outperforms other combinations. This may be due to CASE tagging having a lower error rate in Czech (5.0%) (HajiËc and VidovÃ¡-HladkÃ¡ 1998) compared with Arabic (â14.0%, see Table 3). The results for Czech are the opposite of our results for Arabic, as we will see.

Citation Sentence:
Similarly , Cowan and Collins ( 2005 ) report that the use of a subset of Spanish morphological features ( number for adjectives , determiners , nouns , pronouns , and verbs ; and mode for verbs ) outperforms other combinations .

Context after the citation:
Our approach is  comparable to their work in terms of its systematic exploration of the space of morphological features. We also find that the number feature helps for Arabic. Looking at Hebrew, a Semitic language related to Arabic, Tsarfaty and Simaâan (2007) report that extending POS and phrase structure tags with definiteness information helps unlexicalized PCFG parsing.
Background