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:
method

Context before the citation:
Specifically, we used Decision Graphs (Oliver 1993) for Doc-Pred, and SVMs (Vapnik 1998) for Sent-Pred.11 Additionally, we used unigrams for clustering documents and sentences, and unigrams and bigrams for predicting document clusters and sentence clusters (Sections 3.1.2 and 3.2.2). Hence, throughout the course of this project, the different methods had minor implementational variations, which do not affect the overall insights of this research. The focus of our work is on the general applicability of the different response automation methods, rather than on comparing the performance of particular implementation techniques.

Citation Sentence:
Specifically , we used Decision Graphs ( Oliver 1993 ) for Doc-Pred , and SVMs ( Vapnik 1998 ) for Sent-Pred .11 Additionally , we used unigrams for clustering documents and sentences , and unigrams and bigrams for predicting document clusters and sentence clusters ( Sections 3.1.2 and 3.2.2 ) .

Context after the citation:
Because this variation was uniformly implemented for both approaches, it does not affect their relative performance. These methodological variations are summarized in Table 2. As indicated at the beginning of this section, the implementation of these methods requires the selection of different thresholds, which are subjective and application dependent. Table 3 summarizes the thresholds required for the different methods, the
Uses