Leon R.A. Derczynski Automatically Ordering Events and Times in Text 9783319472409

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Автор: Leon R.A. Derczynski
Название: Automatically Ordering Events and Times in Text
ISBN: 9783319472409
Издательство: Springer
Классификация:

Математическая лингвистика

Настольные издательские системы

Языки программирования и описания сценариев: общие сведения

Искусственный интеллект

Естественный язык и машинный перевод

ISBN-10: 3319472402
Обложка/Формат: Hardback
Страницы: 205
Вес: 0.51 кг.
Дата издания: 2017
Серия: Studies in computational intelligence
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 25 illustrations, black and white; xxi, 205 p. 25 illus.
Размер: 234 x 156 x 14
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: 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.
Дополнительное описание: Introduction.- Events and Times.- Temporal Relations.- Relation Labelling Analysis.- Using Temporal Signals.- Using a Framework of Tense and Aspect.- Conclusion.

Automatically Ordering Events and Times in Text, Leon R.A. Derczynski