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:
Furthermore, manually selected word pairs are often biased towards highly related pairs (Gurevych, 2006), because human annotators tend to select only highly related pairs connected by relations they are aware of. This is an important property if semantic relatedness is used in information retrieval where users tend to use specific search terms (Porsche) rather than general ones (car). Previous studies only included general terms as opposed to domain-specific vocabularies and therefore failed to produce datasets that can be used to evaluate the ability of a measure to cope with domain-specific or technical terms.

Citation Sentence:
Furthermore , manually selected word pairs are often biased towards highly related pairs ( Gurevych , 2006 ) , because human annotators tend to select only highly related pairs connected by relations they are aware of .

Context after the citation:
Automatic corpus-based selection of word pairs is more objective, leading to a balanced dataset with pairs connected by all kinds of lexical-semantic relations. Morris and Hirst (2004) pointed out that many relations between words in a text are non-classical (i.e. other than typical taxonomic relations like synonymy or hypernymy) and therefore not covered by semantic similarity. Previous studies only considered semantic relatedness (or similarity) of words rather than concepts. However, polysemous or homonymous words should be annotated on the level of concepts.
Background