CISUC

Automatic Reading and Learning from Text

Authors

Abstract

This paper presents our more recent research on the area of text reading and
understanding and knowledge extraction. More specifically, we give an overview
of TextStorm and Clouds: two modules for the construction of concept maps. The
first one deals with the task of extracting relations between concepts from a text
file, while the latter concentrates on completing these relations and extrapolating
rules about the knowledge in hand. This is a hybrid framework that applies two
different areas of Artificial Intelligence: Natural Language Processing (in
TextStorm) and Machine Learning (in Clouds). We show an example and draw
conclusions.

Keywords

Natural Language Processing, Text Analysis, Case-based Reasoning, Dialogue, Concept Maps

Subject

Natural Language Processing

Conference

International Symposium on Artificial Intelligence, ISAI'2001, December 2001

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Cited by

Year 2019 : 5 citations

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Year 2018 : 3 citations

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Year 2017 : 5 citations

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Year 2014 : 12 citations

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Year 2013 : 2 citations

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Year 2012 : 8 citations

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