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:
We also perform a human evaluation, by randomly selecting 1300 video snippets and asking AMT turkers to rank <cite>three systems</cite> (the best SMT of <cite>[28]</cite> , S2VT [33] and ours) with respect to Correctness, Grammar and Relevance, similar to <cite>[28]</cite> . Results. Moreover, we improve over the recent approach of [33] , which also uses LSTM to generate video descriptions. Exploring different strategies to label selection and classifier training, as well as various LSTM configurations allows to obtain best result to date on the <cite>MPII-MD dataset</cite>. Human evaluation mainly agrees with the automatic measures. We outperform <cite>both prior works</cite> in terms of Correctness and Relevance, however we lose to S2VT in terms of Grammar.
["Differences"]