This book investigates the complex challenge of automatically annotating, extracting, and reasoning about temporal information and events within natural language text. It addresses the need for computational models that can understand the nuances of time and event structures, which are crucial for many natural language processing tasks. The work builds upon existing linguistic theories and computational methods to propose novel approaches for temporal information processing.

This work is recognized as a significant contribution to the field of computational linguistics and natural language processing, particularly in the area of temporal information. It is likely to be of interest to researchers and practitioners working on advanced text analysis, information extraction, and knowledge representation. The book's focus on both theoretical underpinnings and practical computational methods suggests it serves as a valuable resource for advancing the state-of-the-art in understanding time and events in text.