TextTiling is a technique for subdividing texts into multi-paragraph units that represent
passages, or subtopics. The discourse cues for identifying major subtopic shifts are patterns …

The Pk evaluation metric, initially proposed by Beeferman, Berger, and Lafferty (1997), is
becoming the standard measure for assessing text segmentation algorithms. However, a …

Textual information in the form of digital documents quickly accumulates to create huge
amounts of data. The majority of these documents are unstructured: it is unrestricted text and …

Most documents are about more than one subject, but the majority of natural language
processing algorithms and information retrieval techniques implicitly assume that every …

Discourse Processing here is framed as marking up a text with structural descriptions on
several levels, which can serve to support many language-processing or text-mining tasks …

Abstract Information retrieval needs to match relevant texts with a given query. Selecting
appropriate parts is useful when documents are long, and only portions are interesting to the …

In this article we present a hybrid approach for automatic summarization of Spanish medical
texts. There are a lot of systems for automatic summarization using statistics or linguistics …

In this paper? WC'propose a query framework for hypcrtext data in general, and for WWW
pages, Netnews articles, and e-mails in particular. In existing query tools for hypertext data …

To segment texts in thematic units, we present here how a basic principle relying on word
distribution can be applied on different kind of texts. We start from an existing method well …

The problem of automatic text segmentation is subcategorized into two different problems:
thematic segmentation into rather large topically self-contained sections and splitting into …