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Academic Paper

Title: Using patterns of thematic progression for building a table of contents of a text
Author: Marie-Francine Moens
Institution: Université Catholique de Louvain
Linguistic Field: Applied Linguistics; Computational Linguistics
Abstract: A text usually contains one or a few main topics, which are split up into subtopics, which in their turn can be further described by more detailed topics. In this article we describe a system that segments a text into topics and subtopics. Each segment is characterized by important key terms that are extracted from it and by its begin and end position in the text. A table of contents is built by using the hierarchical and sequential relationships between topical segments that are identified in a text. The table of contents generator relies upon universal linguistic theories on the and of a sentence and on in text. The linguistic theories of topic and comment are modeled both deterministically and probabilistically. The system is applied to English texts (news, World Wide Web and encyclopedia texts) and is evaluated.


This article appears IN Natural Language Engineering Vol. 14, Issue 2, which you can READ on Cambridge's site or on LINGUIST .

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