CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring-Reference-Cited by-同舟云学术

CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring

Published:2020-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Huang Jiaxin¹,Xie Yiqing²,Meng Yu¹,Zhang Yunyi¹,Han Jiawei¹

Affiliation:

1. University of Illinois at Urbana-Champaign, Champaign, IL, USA

2. Hong Kong University of Science and Technology, Hong Kong, China

Funder

National Science Foundation

Defense Threat Reduction Agency

Defense Advanced Research Projects Agency

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394486.3403244

Reference42 articles.

1. Haw-Shiuan Chang ZiYun Wang Luke Vilnis and Andrew McCallum. 2017. Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection. In NAACL-HLT. Haw-Shiuan Chang ZiYun Wang Luke Vilnis and Andrew McCallum. 2017. Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection. In NAACL-HLT.

2. Philipp Cimiano Andreas Hotho and Steffen Staab. 2004. Comparing Conceptual Divise and Agglomerative Clustering for Learning Taxonomies from Text. In ECAI. Philipp Cimiano Andreas Hotho and Steffen Staab. 2004. Comparing Conceptual Divise and Agglomerative Clustering for Learning Taxonomies from Text. In ECAI.

3. Barry de Ville. 2001. Introduction to Data Mining. Barry de Ville. 2001. Introduction to Data Mining.

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