Which is better? Taxonomy induction with learning the optimal structure via contrastive learning

Yuan Meng, Songlin Zhai, Zhihua Chai, Yuxin Zhang, Tianxing Wu, Guilin Qi, Wei Song

Abstract: Highlights•We propose a framework for producing well-structured and comprehensive taxonomies.•Distant supervision enhances seed taxonomy diversity, addressing data skewness.•Contrastive learning refines query-anchor matching and ensures semantic consistency.