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2019 IJCNLP IJCNLP 2019

Automatic Taxonomy Induction and Expansion

Abstract

AbstractThe Knowledge Graph Induction Service (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 .

🌉 Interdisciplinary Bridge — Artificial Intelligence and Deep Learning and Machine Learning
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Nicolas Rodolfo Fauceglia , Alfio Gliozzo , Sarthak Dash , Md. Faisal Mahbub Chowdhury , Nandana Mihindukulasooriya

Topics

Artificial Intelligence > Core AI > Causal Inference Machine Learning > Core Methods > Clustering Machine Learning > Core Methods > Representation Learning Deep Learning > Architectures > Neural Networks

Keywords

text classification distributional semantics knowledge graph semantic web taxonomy induction neural network
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