Summarizing Texts at Various Levels of Detail
نویسندگان
چکیده
Summarizing document texts at various levels of detail is required for many information selection tasks. For instance, when loading and visualizing documents on small screens of handheld devices, it is important to be able to dynamically compress texts. In this article we discuss a technique of generating hierarchical topic trees of a text and to use them in various ways to build summaries of a flexible length. For the topic tree building process we have implemented both a deterministic and probabilistic approach. We compare the results when the topic tree is used for automatic summarization.
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