Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings
Abstract
We introduce the use of Poincaré embeddings to improve existing state-of-the-art approaches to domain-specific taxonomy induction from text as a signal for both relocating wrong hyponym terms within a (pre-induced) taxonomy as well as for attaching disconnected terms in a taxonomy. This method substantially improves previous state-of-the-art results on the SemEval-2016 Task 13 on taxonomy extraction. We demonstrate the superiority of Poincaré embeddings over distributional semantic representations, supporting the hypothesis that they can better capture hierarchical lexical-semantic relationships than embeddings in the Euclidean space.
- Publication:
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arXiv e-prints
- Pub Date:
- June 2019
- DOI:
- 10.48550/arXiv.1906.02002
- arXiv:
- arXiv:1906.02002
- Bibcode:
- 2019arXiv190602002A
- Keywords:
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- Computer Science - Computation and Language
- E-Print:
- 7 pages (5 + 2 pages references), 2 Figures, 3 Tables, Accepted to the ACL 2019 conference. Will appear in its proceedings