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:
Statistical approaches to semantic parsing have recently received considerable attention. However, most of this research has concentrated on supervised methods requiring large amounts of labeled data. These approaches cluster semantically equivalent verbalizations of relations, often relying on syntactic fragments as features for relation extraction and clustering (Lin and Pantel, 2001; Banko et al., 2007) . The success of these methods suggests that semantic parsing can also be tackled as clustering of syntactic realizations of predicate-argument relations. While a similar direction has been previously explored in (Swier and Stevenson, 2004; Abend et al., 2009; Lang and Lapata, 2010) , the recent work of <cite>(Poon and Domingos, 2009</cite> ) takes it one step further by not only predicting predicate-argument structure of a sentence but also assigning sentence fragments to clusters of semantically similar expressions.
["Background"]