natural-language-processing-14
Taxonomy Learning
3260 papers • 126 benchmarks • 313 datasets
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
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