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:
The application of domain models and deep semantic knowledge to question answering has been explored by a variety of researchers (e.g., Jacquemart and Zweigenbaum 2003, Rinaldi et al. 2004), and was also the focus of recent workshops on question answering in restricted domains at ACL 2004 and AAAI 2005. Patient information is no doubt important to answering clinical questions, and our work could certainly benefit from experiences gained in the PERSIVAL project. Although the system incorporates both a user and a task model, it does not explicitly capture the principles of evidence-based medicine.

Citation Sentence:
The application of domain models and deep semantic knowledge to question answering has been explored by a variety of researchers ( e.g. , Jacquemart and Zweigenbaum 2003 , Rinaldi et al. 2004 ) , and was also the focus of recent workshops on question answering in restricted domains at ACL 2004 and AAAI 2005 .

Context after the citation:
Our work contributes to this ongoing discourse by demonstrating a specific application in the domain of clinical medicine. Finally, the evaluation of answers to complex questions remains an open research problem. Although it is clear that measures designed for open-domain factoid questions are not appropriate, the community has not agreed on a methodology that will allow meaningful comparisons of results from different systems. In Sections 9 and 10, we have discussed many of these issues.
Background