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:
experiments

Context before the citation:
The article classifier is a discriminative model that draws on the state-of-the-art approach described in Rozovskaya et al. (2012). Because the Google corpus does not contain complete sentences but only n-gram counts of length up to five, training a discriminative model is not desirable, and we thus use NB (details in Rozovskaya and Roth (2011)). Thus, the classifiers trained on the learner data make use of a discriminative model.

Citation Sentence:
The article classifier is a discriminative model that draws on the state-of-the-art approach described in Rozovskaya et al. ( 2012 ) .

Context after the citation:
The model makes use of the Averaged Perceptron (AP) algorithm (Freund and Schapire, 1996) and is trained on the training data of the shared task with rich features. The article module uses the POS and chunker output to generate some of its features and candidates (likely contexts for missing articles). The original word choice (the source article) used by the writer is also used as a feature. Since the errors are sparse, this feature causes the model to abstain from flagging mistakes, resulting in low recall.
Uses