A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances
Chengyu Wang, Xiaofeng He, Aoying Zhou · 2017
A taxonomy is a semantic hierarchy, consisting of concepts linked by is-a relations.While a large number of taxonomies have been constructed from human-compiled resources (e.g., Wikipedia), learning taxonomies from text corpora has received a growing interest and is essential for longtailed and domain-specific knowledge acquisition.In this paper, we overview recent advances on taxonomy construction from free texts, reorganizing relevant subtasks into a complete framework.We also overview resources for evaluation and discuss challenges for future research.