LSHTC: A Benchmark for Large-Scale Text Classification
It provides a standardized benchmark for researchers working on large-scale text classification problems, though it is incremental as it builds on existing challenge frameworks.
The paper introduces the LSHTC benchmark, which assesses classification systems for large-scale text classification with up to hundreds of thousands of classes, detailing dataset construction, tracks, evaluation measures, and results.
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.