An Event Network for Exploring Open Information
Yanping Chen

TL;DR
This paper introduces an event network framework that organizes linguistic units from open information sources into networks for analysis, involving event detection, network construction, and analysis methods.
Contribution
It presents a novel three-step process for organizing and analyzing open information through event networks, enhancing exploration capabilities.
Findings
Effective organization of open information into event networks
New analytic methods for event network analysis
Application methodologies for open information exploration
Abstract
In this paper, an event network is presented for exploring open information, where linguistic units about an event are organized for analysing. The process is divided into three steps: document event detection, event network construction and event network analysis. First, by implementing event detection or tracking, documents are retrospectively (or on-line) organized into document events. Secondly, for each of the document event, linguistic units are extracted and combined into event networks. Thirdly, various analytic methods are proposed for event network analysis. In our application methodologies are presented for exploring open information.
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Taxonomy
TopicsTopic Modeling · Advanced Graph Neural Networks · Text and Document Classification Technologies
