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:
introduction

Context before the citation:
This includes work on question answering (Wang et al., 2007), sentiment analysis (Nakagawa et al., 2010), MT reordering (Xu et al., 2009), and many other tasks. The accuracy and speed of state-of-the-art dependency parsers has motivated a resumed interest in utilizing the output of parsing as an input to many downstream natural language processing tasks.

Citation Sentence:
This includes work on question answering ( Wang et al. , 2007 ) , sentiment analysis ( Nakagawa et al. , 2010 ) , MT reordering ( Xu et al. , 2009 ) , and many other tasks .

Context after the citation:
In most cases, the accuracy of parsers degrades when run on out-of-domain data (Gildea, 2001; McClosky et al., 2006; Blitzer et al., 2006; Petrov et al., 2010). But these accuracies are measured with respect to gold-standard out-of-domain parse trees. There are few tasks that actually depend on the complete parse tree. Furthermore, when evaluated on a downstream task, often the optimal parse output has a model score lower than the best parse as predicted by the parsing model.
Background