Automatic Reading and Learning from Text
Automatic Reading and Learning from Text
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发表时间：
2001
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通讯作者：
Ana C. M. Oliveira;Francisco Câmara Pereira;A. Cardoso
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作者：
Ana C. M. Oliveira;Francisco Câmara Pereira;A. Cardoso
本文介绍了我们在文本阅读和理解以及知识提取领域的最新研究。更具体地说，我们给出了一个概述的TextStorm和云：两个模块的概念图的建设。第一个处理从文本文件中提取概念之间的关系的任务，而后者则专注于完成这些关系并推断有关手头知识的规则。这是一个混合框架，适用于人工智能的两个不同领域：自然语言处理（在TextStorm中）和机器学习（在云中）。我们给出一个例子，并得出结论。
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.