Given the task definition and input, reply with output. In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.

As introduced above, the 'One Million Post' corpus provides annotation labels for more than 11,000 user comments. Although there is no directly comparable category capturing 'offensive language' as defined in the shared task, there are two closely related categories. From the resource, we extract all those comments in which a majority of the annotators agree that they contain either 'inappropriate' or 'discriminating' content, or none of the aforementioned. We treat the first two cases as examples of 'offense' and the latter case as examples of 'other'.
Question: What are the near-offensive language categories?
inappropriate discriminating