Understand
LSHTC is a series of challenges which aims to assess the performance of classification systems in large-scale classification in a a large number of classes (up to hundreds of thousands).
- This paper describes the dataset that have been released along the LSHTC series.
- The paper details the construction of the datsets and the design of the tracks as well as the evaluation measures that we implemented and a quick overview of the results.
- All of these datasets are available online and runs may still be submitted on the online server of the challenges.
Built on
A re-examination of text categorization methods
Yiming Yang and Xin Liu · 1999
Earlier work this paper cites.
Random k-labelsets: An ensemble method for multilabel classification
Grigorios Tsoumakas and Ioannis Vlahavas · 2007
Earlier work this paper cites.
Hierarchical centroid-based classifier for large scale text classification
Youdong Miao and Xipeng Qiu · 2009
Earlier work this paper cites.
Large-scale many-class prediction via flat techniques
Omid Madani and Jian Huang · 2010
Earlier work this paper cites.
Similar
Echo at the lshtc pascal challenge 2
Christophe Brouard · 2011
Cited alongside, same era.
Enhance k-nearest neighbour algorithm for large-scale multi-labeled hierarchical classification
Xiao-Lin Wang, Hai Zhao, and Bao-Liang Lu · 2011
Cited alongside, same era.
A k-nn method for large scale hierarchical text classification at lshtc3
Xiaogang Han, Shaohua Li, and Zhiqi Shen · 2012
Cited alongside, same era.
Multi-stage rocchio classification for large-scale multi-labeled text data
Dong-Hyun Lee · 2012
Cited alongside, same era.
Then
Ensembles of sparse multinomial classifiers for scalable text classification
Antti Puurula and Albert Bifet · 2012
Later among the works it cites.
Tti’s system for the lshtc3 challenge
Yutaka Sasaki and Davy Weissenbacher · 2012
Later among the works it cites.
Evaluation measures for hierarchical classification: a unified view and novel approaches
Aris Kosmopoulos, Ioannis Partalas, Eric Gaussier, Georgios Paliouras, and Ion Androutsopoulos · 2014
Later among the works it cites.
A meta-top-down method for large-scale hierarchical classification
Xiao lin Wang, Hai Zhao, and Bao-Liang Lu · 2014
Later among the works it cites.
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