10 citations · 18 across the 6 of their papers we have counts for
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cs.CL2022★ 8 cited
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
Fabian Karl, Ansgar Scherp
Short text classification is a crucial and challenging aspect of Natural Language Processing. For this reason, there are numerous highly specialized short text classifiers. However…
cs.CL2022★ 10 cited
Are We Really Making Much Progress in Text Classification? A Comparative Review
Lukas Galke, Ansgar Scherp, Andor Diera +5
We survey the literature on single-label, multi-label, and hierarchical text classification and provide a quantitative comparison of methods categorized into bag-of-words, sequence…