Automatically Ordering Events and Times in Text

  • Leon R.A.¬†Derczynski

Part of the Studies in Computational Intelligence book series (SCI, volume 677)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Leon R. A. Derczynski
    Pages 1-8
  3. Leon R. A. Derczynski
    Pages 9-24
  4. Leon R. A. Derczynski
    Pages 25-61
  5. Leon R. A. Derczynski
    Pages 63-84
  6. Leon R. A. Derczynski
    Pages 85-137
  7. Leon R. A. Derczynski
    Pages 139-177
  8. Leon R. A. Derczynski
    Pages 179-185
  9. Back Matter
    Pages 187-205

About this book


The book offers a detailed guide to temporal ordering, exploring open problems in the field and providing solutions and extensive analysis. It addresses the challenge of automatically ordering events and times in text. Aided by TimeML, it also describes and presents concepts relating to time in easy-to-compute terms. Working out the order that events and times happen has proven difficult for computers, since the language used to discuss time can be vague and complex. Mapping out these concepts for a computational system, which does not have its own inherent idea of time, is, unsurprisingly, tough. Solving this problem enables powerful systems that can plan, reason about events, and construct stories of their own accord, as well as understand the complex narratives that humans express and comprehend so naturally. 

This book presents a theory and data-driven analysis of temporal ordering, leading to the identification of exactly what is difficult about the task. It then proposes and evaluates machine-learning solutions for the major difficulties.

It is a valuable resource for those working in machine learning for natural language processing as well as anyone studying time in language, or involved in annotating the structure of time in documents.


Computational Intelligence Temporal Reasoning Knowledge Representation Temporal Information Extraction Temporal Data Mining

Authors and affiliations

  • Leon R.A.¬†Derczynski
    • 1
  1. 1.Department of Computer ScienceThe University of SheffieldSheffieldUnited Kingdom

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-47240-9
  • Online ISBN 978-3-319-47241-6
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site