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Original scientific paper

https://doi.org/10.2498/cit.2004.03.03

Automated Learning Applied to Functional Argument Identification

Vasile Rus


Full text: english pdf 183 Kb

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Abstract

This paper reports experiments on applying machine learning to identifying functional arguments of verbs such as logical subject. In particular, it is shown that using decision trees for functional arguments identification is beneficial. The paper also argues that linguistically-motivated features gathered from a large corpus can capture functional information.

Keywords

Hrčak ID:

44712

URI

https://hrcak.srce.hr/44712

Publication date:

30.9.2004.

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