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:
Recently, <cite>Yang et al. (2019)</cite> showed that combining a BERT-based reader with passage retrieval using the Anserini IR toolkit yields a large improvement in question answering directly from a Wikipedia corpus, measured in terms of exact match on a standard benchmark (Chen et al., 2017) . Interestingly, the approach of <cite>Yang et al. (2019)</cite> represents a simple method to combining BERT with off-the-shelf IR. In this paper, we build on these initial successes to explore how much further we can push this simple architecture by data augmentation, taking advantage of distant supervision techniques to gather more and higher-quality * equal contribution training data to fine tune BERT.
["Extends"]