Difference between revisions of "Extraccao De Conhecimento Lexico-Semantico a Partir De Resumos Da Wikipedia"
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− | '''Extraccao De Conhecimento Lexico-Semantico a Partir De Resumos Da Wikipedia''' - scientific work related to Wikipedia quality published in 2010, written by Hugo Gonçalo Oliveira, Hernani Costa and Paulo Gomes. | + | '''Extraccao De Conhecimento Lexico-Semantico a Partir De Resumos Da Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Hugo Gonçalo Oliveira]], [[Hernani Costa]] and [[Paulo Gomes]]. |
== Overview == | == Overview == | ||
− | This paper presents a system for the automatic acquisition of semantic relations from Portuguese text, which can be seen as core step in the automatic construction of lexico-semantic resources. The system was applied to Wikipedia, currently a huge and free source of knowledge. The obtained results are shown and their evaluation is discussed together with the current limitations and cues for further improvement. | + | This paper presents a system for the automatic acquisition of semantic relations from Portuguese text, which can be seen as core step in the automatic construction of lexico-semantic resources. The system was applied to [[Wikipedia]], currently a huge and free source of knowledge. The obtained results are shown and their evaluation is discussed together with the current limitations and cues for further improvement. |
Revision as of 07:44, 6 June 2019
Extraccao De Conhecimento Lexico-Semantico a Partir De Resumos Da Wikipedia - scientific work related to Wikipedia quality published in 2010, written by Hugo Gonçalo Oliveira, Hernani Costa and Paulo Gomes.
Overview
This paper presents a system for the automatic acquisition of semantic relations from Portuguese text, which can be seen as core step in the automatic construction of lexico-semantic resources. The system was applied to Wikipedia, currently a huge and free source of knowledge. The obtained results are shown and their evaluation is discussed together with the current limitations and cues for further improvement.