In:
Natural Language Engineering, Cambridge University Press (CUP), Vol. 24, No. 2 ( 2018-03), p. 199-220
Kurzfassung:
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.
Materialart:
Online-Ressource
ISSN:
1351-3249
,
1469-8110
DOI:
10.1017/S1351324917000390
Sprache:
Englisch
Verlag:
Cambridge University Press (CUP)
Publikationsdatum:
2018
ZDB Id:
1481165-0
SSG:
7,11
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