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

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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.

Embed

Wikipedia Quality

Pasca, Marius. (2009). "[[Outclassing Wikipedia in Open-Domain Information Extraction: Weakly-Supervised Acquisition of Attributes over Conceptual Hierarchies]]". Association for Computational Linguistics. DOI: 10.3115/1609067.1609138.

English Wikipedia

{{cite journal |last1=Pasca |first1=Marius |title=Outclassing Wikipedia in Open-Domain Information Extraction: Weakly-Supervised Acquisition of Attributes over Conceptual Hierarchies |date=2009 |doi=10.3115/1609067.1609138 |url=https://wikipediaquality.com/wiki/Outclassing_Wikipedia_in_Open-Domain_Information_Extraction:_Weakly-Supervised_Acquisition_of_Attributes_over_Conceptual_Hierarchies |journal=Association for Computational Linguistics}}

HTML

Pasca, Marius. (2009). &quot;<a href="https://wikipediaquality.com/wiki/Outclassing_Wikipedia_in_Open-Domain_Information_Extraction:_Weakly-Supervised_Acquisition_of_Attributes_over_Conceptual_Hierarchies">Outclassing Wikipedia in Open-Domain Information Extraction: Weakly-Supervised Acquisition of Attributes over Conceptual Hierarchies</a>&quot;. Association for Computational Linguistics. DOI: 10.3115/1609067.1609138.