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:
One state-of-the-art model for semantic parsing is our recently introduced <cite>relaxed hybrid tree</cite> model <cite>(Lu, 2014)</cite> , which performs integrated lexicon acquisition and semantic parsing within a single framework utilizing efficient algorithms for training and inference. Unfortunately, the <cite>relaxed hybrid tree</cite> model has an important limitation: <cite>it</cite> essentially does not allow certain sentence-semantics pairs to be jointly encoded using the proposed <cite>relaxed hybrid tree</cite> representations. Thus, <cite>the model</cite> is unable to identify joint representations for certain sentence-semantics pairs during the training process, and is unable to produce desired outputs for certain inputs during the evaluation process. In this work, we propose a solution addressing the above limitation, which makes our model more robust.
["Motivation"]