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Information Journal Paper

Title

EXTRACTING CONCEPTUAL KNOWLEDGE FROM TEXT: USING LINGUISTIC AND SEMANTIC TEMPLATES

Pages

  48-66

Keywords

Not Registered.

Abstract

 In this paper we will first have an overview of extracting ontological knowledge from text and then will focus on template driven methods to discover conceptual relations between concepts. Some linguistic and semantic templates will then be introduced to extract ontological knowledge from Persian texts. The introduced templates are general and domain / application independent and work at sentence level. They are used to extract taxonomic and non-taxonomic relations and axioms from Persian phrases and sentences. The extracted relations may be hyponymy, metonymy, attribute / value, equivalency, etc. In each case, some examples of the experimental results will make the templates clear.

Cites

References

Cite

APA: Copy

SHAMSFARD, M., & ABD ELAHZADEH BARFOROUSH, A.. (2002). EXTRACTING CONCEPTUAL KNOWLEDGE FROM TEXT: USING LINGUISTIC AND SEMANTIC TEMPLATES. ADVANCES IN COGNITIVE SCIENCE, 4(1), 48-66. SID. https://sid.ir/paper/83141/en

Vancouver: Copy

SHAMSFARD M., ABD ELAHZADEH BARFOROUSH A.. EXTRACTING CONCEPTUAL KNOWLEDGE FROM TEXT: USING LINGUISTIC AND SEMANTIC TEMPLATES. ADVANCES IN COGNITIVE SCIENCE[Internet]. 2002;4(1):48-66. Available from: https://sid.ir/paper/83141/en

IEEE: Copy

M. SHAMSFARD, and A. ABD ELAHZADEH BARFOROUSH, “EXTRACTING CONCEPTUAL KNOWLEDGE FROM TEXT: USING LINGUISTIC AND SEMANTIC TEMPLATES,” ADVANCES IN COGNITIVE SCIENCE, vol. 4, no. 1, pp. 48–66, 2002, [Online]. Available: https://sid.ir/paper/83141/en

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