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:
ones, DIRT (Lin and Pantel, 2001), VerbOcean (Chklovski and Pantel, 2004), FrameNet (Baker et al., 1998), and Wikipedia (Mehdad et al., 2010; Kouylekov et al., 2009). These include, just to mention the most popular Besides WordNet, the RTE literature documents the use of a variety of lexical information sources (Bentivogli et al., 2010; Dagan et al., 2009).

Citation Sentence:
ones , DIRT ( Lin and Pantel , 2001 ) , VerbOcean ( Chklovski and Pantel , 2004 ) , FrameNet ( Baker et al. , 1998 ) , and Wikipedia ( Mehdad et al. , 2010 ; Kouylekov et al. , 2009 ) .

Context after the citation:
DIRT is a collection of statistically learned inference rules, that is often integrated as a source of lexical paraphrases and entailment rules. VerbOcean is a graph of fine-grained semantic relations between verbs, which are frequently used as a source of precise entailment rules between predicates. FrameNet is a knowledge-base of frames describing prototypical situations, and the role of the participants they involve. It can be used as an alternative source of entailment rules, or to determine the semantic overlap between texts and hypotheses.
Background