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KCAP
2009
ACM

Knowledge integration across multiple texts

8 years 12 months ago
Knowledge integration across multiple texts
One of the grand challenges of AI is to build systems that learn by reading. The ideal system would construct a rich knowledge base capable of automated reasoning. We have built a Learning-by-Reading system and this paper focuses on one aspect of it: the task of integrating together snippets of knowledge drawn from multiple texts to build a single coherent knowledge base. Our evaluation shows that our approach to the knowledge integration is both feasible and promising. Categories and Subject Descriptors I.2.6 [Artificial Intelligence]: Learning—Knowledge Acquisition; I.2.7 [Artificial Intelligence]: Natural Language Processing—Discourse General Terms Algorithms Keywords knowledge acquisition, knowledge integration, natural language understanding, learning-by-reading
Doo Soon Kim, Ken Barker, Bruce W. Porter
Added 28 May 2010
Updated 28 May 2010
Type Conference
Year 2009
Where KCAP
Authors Doo Soon Kim, Ken Barker, Bruce W. Porter
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