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Erschienen in:
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2016 | OriginalPaper | Buchkapitel

Enhancing Concept Extraction from Polish Texts with Rule Management

verfasst von : Piotr Szwed

Erschienen in: Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery

Verlag: Springer International Publishing

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Abstract

This paper presents a system for extraction of concepts from unstructured Polish texts. Here concepts are understood as n-grams, whose words satisfy specific grammatical constraints. Detection and transformation of concepts to their normalized form are performed with rules defined in a language, which combines elements of colored and fuzzy Petri nets. We apply a user friendly method for specification of samples of transformation patterns that are further compiled to rules. To improve accuracy and performance, we recently introduced rule management mechanisms, which are based on two relations between rules: partial refinement and covering. The implemented methods include filtering with metarules and removal of redundant rules (i.e. these covered by other rules). We report results of experiments, which aimed at extracting specific concepts (actions) using a ruleset refactored with the developed rule management techniques.

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Metadaten
Titel
Enhancing Concept Extraction from Polish Texts with Rule Management
verfasst von
Piotr Szwed
Copyright-Jahr
2016
Buch
Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery

Print ISBN: 978-3-319-34098-2

Electronic ISBN: 978-3-319-34099-9

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-34099-9_27

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