Non-expository texts are not usually read from cover to cover. Readers are helped in such circumstances by providing selective access to text excerpts as needed. Text themes can be identified representing areas of importance in a text, and summaries can be constructed automatically. In this study, text theme generation and text summarization are related to text struture. It is shown that useful text derivatives are obtainable for texts with diverse structural characteristics.