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Paper detail

LSHTC: A Benchmark for Large-Scale Text Classification

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.

preprint2015arXivOpen access
Ioannis PartalasAris KosmopoulosNicolas BaskiotisThierry ArtieresGeorge PaliourasEric GaussierIon AndroutsopoulosMassih-Reza AminiPatrick Galinari
Computation and LanguageInformation RetrievalMachine Learning
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Open access9 authors3 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Ioannis PartalasAris KosmopoulosNicolas BaskiotisThierry ArtieresGeorge PaliourasEric GaussierIon AndroutsopoulosMassih-Reza AminiPatrick Galinari

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