Taxonomy Learning

9 benchmarks0 papers

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

Benchmarks

Taxonomy Learning on General

MAPMRRP@5

Taxonomy Learning on Medical domain

MAPMRRP@5

Taxonomy Learning on Music domain

MAPMRRP@5