Outclassing Wikipedia in Open-Domain Information Extraction: Weakly-Supervised Acquisition of Attributes over Conceptual Hierarchies

From Wikipedia Quality
Revision as of 12:45, 11 June 2020 by Chloe (talk | contribs) (+ infobox)
Jump to: navigation, search


Outclassing Wikipedia in Open-Domain Information Extraction: Weakly-Supervised Acquisition of Attributes over Conceptual Hierarchies
Authors
Marius Pasca
Publication date
2009
DOI
10.3115/1609067.1609138
Links
Original

Outclassing Wikipedia in Open-Domain Information Extraction: Weakly-Supervised Acquisition of Attributes over Conceptual Hierarchies - scientific work related to Wikipedia quality published in 2009, written by Marius Pasca.

Overview

A set of labeled classes of instances is extracted from text and linked into an existing conceptual hierarchy. Besides a significant increase in the coverage of the class labels assigned to individual instances, the resulting resource of labeled classes is more effective than similar data derived from the manually-created Wikipedia, in the task of attribute extraction over conceptual hierarchies.