Bingsheng Yao, Dakuo Wang, et al.
ACL 2022
The Knowledge Graph InductionService (KGIS) is an end-to-end knowledge induction system. One of its main capabilities is to automatically induce taxonomies from input documents using a hybrid approach that takes advantage of linguistic patterns, semantic web and neural networks. KGIS allows the user to semi-automatically curate and expand the induced taxonomy through a component called smart spreadsheet by exploiting distributional semantics. In this paper, we describe these taxonomy induction and expansion features of KGIS. A screencast video demonstrating the system is available in https://ibm.box.com/v/emnlp-2019-demo.
Bingsheng Yao, Dakuo Wang, et al.
ACL 2022
Tamar Lavee, Lili Kotlerman, et al.
EMNLP 2019
Shivashankar Subramanian, Ioana Baldini, et al.
IAAI 2020
Kevin Gu, Eva Tuecke, et al.
ICML 2024