CLAug 30, 2015

An Event Network for Exploring Open Information

arXiv:1508.07555v1
Originality Synthesis-oriented
AI Analysis

This work addresses information exploration for researchers or analysts, but it appears incremental as it builds on existing event detection and network analysis techniques without claiming major breakthroughs.

The paper tackles the problem of organizing and analyzing open information by constructing event networks from linguistic units, proposing a three-step process involving document event detection, network construction, and analysis methods.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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