Exploring open information via event network

Yanping Chen, Qinghua Zheng, Feng Tian, Huan Liu, Yazhou Hao, Nazaraf Shah

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
53 Downloads (Pure)


It is a challenging task to discover information from a large amount of data in an open domain. 1 In this paper, an event network framework is proposed to address this challenge. It is in fact an empirical construct for exploring open information, composed of three steps: document event detection, event network construction and event network analysis. First, documents are clustered into document events for reducing the impact of noisy and heterogeneous resources. Secondly, linguistic units (e.g., named entities or entity relations) are extracted from each document event and combined into an event network, which enables content-oriented retrieval. Then, in the final step, techniques such as social network or complex network can be applied to analyze the event network for exploring open information. In the implementation section, we provide examples of exploring open information via event network.
Original languageEnglish
Pages (from-to)119-220
Number of pages22
Journal Natural Language Engineering
Issue number2
Early online date26 Oct 2017
Publication statusPublished - 2017


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