Automatic Reading and Learning from Text
Authors
Abstract
This paper presents our more recent research on the area of text reading andunderstanding 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 MapsSubject
Natural Language ProcessingConference
International Symposium on Artificial Intelligence, ISAI'2001, December 2001PDF File
Cited by
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