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Interactive Background Knowledge Acquisition for Inducing Differences among
Documents
Chieko Nakabasami.
In Lubos Popelínský
and Miloslav Nepil, editors,
Proceedings of the 3d Workshop on Learning Language in Logic, pages
47--57, Strasbourg, France, September 2001.
Abstract
This paper presents a case study in which an Inductive Logic Programming (ILP)
technique is applied to natural language processing. Aleph, an ILP system, is
used to induce differences among documents. A Case-Based Reasoning (CBR)
system is proposed for the purpose of compiling the background knowledge
inputted into Aleph. In the CBR system, lexical and syntactic information
concerning words in close proximity to the target word(s) in training
sentences is provided in order to infer new cases effectively. The compiled
background knowledge is used to determine the semantic differences in
documents that are written in natural language. Tentative experiments with
this technique have produced encouraging results.
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