1. A computer-implemented method, comprising: receiving, from a server associated with an application, a first indicator representing an intent to invoke the application; receiving, from the server, a second indicator representing a content type, the content type corresponding to content accessible by the application; using the first indicator and the second indicator to train a natural language understanding (NLU) component of a system; generating output audio data soliciting a spoken utterance, wherein the output audio data represents the intent and the content type; causing a first device to output first audio corresponding to the output audio data; receiving, from the first device, first input audio data; performing automatic speech recognition (ASR) processing on the first input audio data to generate first text data, the first text data including a first portion and a second portion; associating the first portion with the first indicator; associating the second portion with the second indicator; using the first portion associated with the first indicator and the second portion associated with the second indicator to further train the NLU component; after further training the NLU component, determining, using the NLU component, that a user input corresponds to the intent and the content type; and causing the application to perform an action based at least in part on determining that the user input corresponds to the intent and the content type.