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Taxonomy Learning
0 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Taxonomy learning is the task of hierarchically classifying concepts in an automatic manner from text corpora. The process of building taxonomies is usually divided into two main steps: (1) extracting hypernyms for concepts, which may constitute a field of research in itself (see Hypernym Discovery below) and (2) refining the structure into a taxonomy.
Description from NLP Progress
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
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Datasets archive 2025-07-28
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Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
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