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Acknowledgments

This book is an outcome of three years of exploration. The journey started with a course by Dr. Marina Bogomolov on multiple hypothesis testing, which was given in the fall of 2017 at the Faculty of Industrial Engineering and Management (IE&M) of the Technion. Marina, as well as Gili Baumer, her M.Sc. student and the tutor of the course at the time, were instrumental in the research that resulted in Chapter 6 of this book.

Many people commented on the ideas we discuss in the book, read drafts of the papers that were eventually extended into this book as well as versions of the book itself, and provided valuable feedback. Among these are David Azriel, Eustasio Del Barrio, Yuval Pinter, David Traum (who, as the program chair of ACL 2019, made a substantial contribution to the shaping of our ideas in Chapter 5), Or Zuk, and the members of the Natural Language Processing Group of the IE&M Faculty of the Technion: Reut Apel, Chen Badler, Eyal Ben David, Amichay Doitch, Ofer Givoli, Amir Feder, Ira Leviant, Rivka (Riki) Malka, Nadav Oved, Guy Rotman, Ram Yasdi, Yftah Ziser, and Dor Zohar.

The anonymous reviewers of the book and original papers provided detailed comments on various aspects of this work, from minor technical details to valuable suggestions on the structure, that dramatically improved its quality. Graeme Hirst, Michael Morgan, and Christine Kiilerich orchestrated the book-writing effort and provided valuable guidance.

Finally, we would like to thank the generous support of the Technion Graduate School. Rotem Dror has also been supported by a generous Google Ph.D. fellowship.

Needless to say that all the mistakes and shortcomings of the book are ours. Please let us know if you find any.

Rotem Dror, Lotem Peled-Cohen, Segev Shlomov, and Roi Reichart

April 2020