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:
In particular, for the 1-to-N, N-to-1, and N-to-N types of relations [Bordes et al., 2013] 75.9 70.9 77.8 TransE (bern) [Bordes et al., 2013] 75.9 81.5 85.3 TransH (unif) [Wang et al., 2014] 77.7 76.5 78.4 TransH (bern) [Wang et al., 2014] 78.8 83.3 85.8 TransR (unif)<cite> [Lin et al., 2015b]</cite> 85.5 74.7 79.2 TransR (bern)<cite> [Lin et al., 2015b]</cite> 85.9 82.5 87.0 PTransE (ADD, 2-hop)<cite> [Lin et al., 2015a]</cite> 80.9 73.5 83.4 PTransE (MUL, 2-hop)<cite> [Lin et al., 2015a]</cite> 79.4 73.6 79.3 PTransE (ADD, 3-hop)<cite> [Lin et al., 2015a]</cite> 80 that plague knowledge embedding models, RPE (ACOM) improves 4.1%, 4.6%, and 4.9% on head entity's prediction and 6.9%, 7.0%, and 5.1% on tail entity's prediction compared with previous state-of-the-art performances achieved by PTransE (ADD, 2-hop).
["Differences"]