I use the term hyper-document to describe a finite intentionally structured semantic domain. Hyper-objects are the physical stuff of the web. Traditional linguistics breaks language into sentential units for semantic interpretation. In the case of hypertext, it is convenient to expand these units to include text objects such as heading and anchor descriptions. Traditional NLP and statistical approaches may be used to interpret the literal meaning of these units.
Natural language offers a range of clues for identifying discourse segments.
Hypermedia documents contain explicit clues to this process. HTML acts as a meta-language that describes the relationships between content bearing objects. One simple example is the relationship between heading, italicised and bolded objects and discourse salience. Another is the association of text that follows a conclusion or abstract heading with that discourse intention. Sentences exist in the wider context of a discourse.