Discovering implicit intention-level knowledge from natural-language texts

John Atkinson, Anita Ferreira, Elvis Aravena

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)502-508
Number of pages7
JournalKnowledge-Based Systems
Volume22
Issue number7
DOIs
StatePublished - Oct 2009
Externally publishedYes

Keywords

  • Natural-language processing
  • Semantic analysis
  • Text mining

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