Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method

Qingkai Zeng, Mengxia Yu, Wenhao Yu, JinJun Xiong, Yiyu Shi, Meng Jiang


Abstract
On a scientific concept hierarchy, a parent concept may have a few attributes, each of which has multiple values being a group of child concepts. We call these attributes facets: classification has a few facets such as application (e.g., face recognition), model (e.g., svm, knn), and metric (e.g., precision). In this work, we aim at building faceted concept hierarchies from scientific literature. Hierarchy construction methods heavily rely on hypernym detection, however, the faceted relations are parent-to-child links but the hypernym relation is a multi-hop, i.e., ancestor-to-descendent link with a specific facet “type-of”. We use information extraction techniques to find synonyms, sibling concepts, and ancestor-descendent relations from a data science corpus. And we propose a hierarchy growth algorithm to infer the parent-child links from the three types of relationships. It resolves conflicts by maintaining the acyclic structure of a hierarchy.
Anthology ID:
D19-5317
Volume:
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)
Month:
November
Year:
2019
Address:
Hong Kong
Venues:
EMNLP | TextGraphs | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
140–150
Language:
URL:
https://aclanthology.org/D19-5317
DOI:
10.18653/v1/D19-5317
Bibkey:
Cite (ACL):
Qingkai Zeng, Mengxia Yu, Wenhao Yu, JinJun Xiong, Yiyu Shi, and Meng Jiang. 2019. Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method. In Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13), pages 140–150, Hong Kong. Association for Computational Linguistics.
Cite (Informal):
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method (Zeng et al., EMNLP 2019)
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PDF:
https://aclanthology.org/D19-5317.pdf