Your task is to classify the citation intent within the following provided text from a computational linguistics research paper. The cited work is demarcated by "<cite>" and "</cite>". Determine the purpose of the cited work by selecting from the listed categories:

- Background: The cited paper underpins the subject matter.
- Motivation: The cited paper inspires or provides a rationale for the current research.
- Uses: The current work utilizes concepts or tools from the cited paper.
- Extends: The current work advances ideas or methods from the cited paper.
- Similarities: The current work identifies commonalities with the cited paper.
- Differences: The current work delineates its distinction from the cited paper.
- FutureWork: The cited paper is acknowledged as groundwork for prospective research.

Indicate the intents by listing them in a `json` array, e.g. ["Background", "Uses"]. More than one intent may be applicable. Do not include any extraneous text in your response.

Context with Citation:
At the same time, these link embedding features maintain dependency parsing improvements similar to the complex, template-based features on word clusters and embeddings by previous work (Koo et al., 2008; <cite>Bansal et al., 2014</cite> ) (up to 9% relative error reduction), and also stack statistically significantly over <cite>them</cite> (up to an additional 5% relative error reduction). Another advantage of this approach (versus <cite>previous work</cite> on feature embeddings or special neural networks for parsing) is that these link embeddings can be imported as off-the-shelf, dense, syntactic features into various other NLP tasks, similar to word embedding features, but now with richer, structured information, and in tasks where plain word embeddings have not proven useful .
["Differences", "Motivation"]