Journal of Natural Language Processing
Online ISSN : 2185-8314
Print ISSN : 1340-7619
ISSN-L : 1340-7619
Paper
Comprehensive Annotation and Analysis of Temporal Information of Events
Tomohiro SakaguchiDaisuke KawaharaSadao Kurohashi
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JOURNAL FREE ACCESS

2019 Volume 26 Issue 1 Pages 179-206

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Abstract

Various past, present, and future events are described in text. To understand such text, correct interpretation of temporal information is essential. For this purpose, many corpora associating events with temporal information have been constructed. Although these corpora focus on expressions with strong temporality, many expressions have weak temporality, but are still clues to understanding temporal information. In this article, we propose an annotation scheme that comprehensively anchors textual expressions to the time axis. Using this scheme, we annotated 113 documents in the Kyoto University Text Corpus. Because the corpus has already been annotated with predicate-argument structures and coreference relations, it can now be utilized for integrated information analysis of events, entities, and time.

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© 2019 The Association for Natural Language Processing
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