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Acknowledgments

This book gives an in-depth overview of methods, tools, and techniques of temporal tagging in different domains. Based on the number of publications and evaluation competitions, the past few years clearly show that this field is taking on an enormous interest in the research community and industry. We thus would like to thank all researchers who actively contribute new ideas to this field, organize evaluation competitions, and provide temporal tagging tools and resources for other researchers and the public.

Although this book is about temporal tagging in general and not just about our temporal tagger HeidelTime, we want to take the opportunity to thank all contributors of HeidelTime for their great work and many users for helpful feedback to further improve the tool. We also would like to thank the many students at Heidelberg University who contributed in the form of student projects, and bachelor and master theses.

In particular, we thank Anne-Lyse Minard and Steven Bethard for their valuable reviews of the draft of this book. They put a lot of effort into the reviews and provided numerous valuable comments as well as suggestions to significantly improve the book. Finally, we want to thank the series editor Graeme Hirst for his great support and his instant replies to all our questions. It is time for a big thank you!

Domain-Sensitive Temporal Tagging

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