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:
This tutorial introduces the advances in deep Bayesian learning with abundant applications for natural language understanding ranging from speech recognition (Saon and Chien, 2012; Chan et al., 2016) to document summarization (Chang and Chien, 2009 ), text classification (Blei et al., 2003; Zhang et al., 2015) , text segmentation (Chien and Chueh, 2012) , information extraction (Narasimhan et al., 2016) , image caption generation (Vinyals et al., 2015; Xu et al., 2015) , sentence generation (Li et al., 2016b) , dialogue control (Zhao and Eskenazi, 2016; <cite>Li et al., 2016a</cite>) , sentiment classification, recommendation system, question answering (Sukhbaatar et al., 2015) and machine translation , to name a few.
["Uses", "Background"]