Discovering implicit intention-level knowledge from natural-language texts

John Atkinson

doi:10.1016/j.knosys.2008.10.007

Discovering implicit intention-level knowledge from natural-language texts

2009-10-01

22

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John Atkinson *

A

Anita Ferreira Cabrera

DOI：10.1016/j.knosys.2008.10.007

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In this paper, we propose a new approach to automatic discovery of implicit rhetorical information from texts based on evolutionary computation methods. In order to guide the search for rhetorical connections from natural-language texts, the model uses previously obtained training information which involves semantic and structural criteria. The main features of the model and new designed operators and evaluation functions are discussed, and the different experiments assessing the robustness and accuracy of the approach are described. Experimental results show the promise of evolutionary methods for rhetorical role discovery. (C) 2009 Elsevier B.V. All rights reserved.

Keyword:

Text mining

Natural-language processing

Semantic analysis

Discovering implicit intention-level knowledge from natural-language texts

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