Authors: Junsheng Zhang Changqing Yao Yunchuan Sun Zengquan Fang
Publish Date: 2016/08/16
Volume: 20, Issue: 5, Pages: 743-755
Abstract
Events formulate the world of the human being and could be regarded as the semantic units in different granularities for information organization Extracting events and temporal information from texts plays an important role for information analytics in big data because of the wide use of multilingual texts This paper surveys existing research work on textbased event temporal resolution and reasoning including identification of events temporal information resolutions of events in English and Chinese texts the rulebased temporal relation reasoning between events and relevant temporal representations For the scientific big data analytics we point out the shortcomings of existing research work and give the argument about the future research work for advancing identification of events establishment of temporal relations and reasoning of temporal relationsPortions of this work were previously presented in a conference publication 66 The current article extends this work in several ways most notably 1 We add the new content about eventcentric information resource collection and textual information preprocessing for event temporal resolution 2 we propose a framework for constructing temporally linked event network based on scientific literature and then discuss the possible applications for intelligence analysisThis research work was partially supported by National Natural Science of China Grant Nos 71503240 and 61371185 Humanities and Social Sciences of Ministry of Education Planning Fund Grant No 16YJA710007 and the National Key Technology RD Program Grant No 2015BAH25F01
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