This reader collects and introduces important work in linguistics, computer
science, artificial intelligence, and computational linguistics on the use
of linguistic devices in natural languages to situate events in time:
whether they are past, present, or future; whether they are real or
hypothetical; when an event might have occurred, and how long it could have
lasted. In focussing on the treatment and retrieval of time-based
information it seeks to lay the foundation for temporally-aware natural
language computer processing systems, for example those that process
documents on the worldwide web to answer questions or produce summaries.
The development of such systems requires the application of technical
knowledge from many different disciplines. The book is the first to bring
these disciplines together, by means of classic and contemporary papers in
four areas: tense, aspect, and event structure; temporal reasoning; the
temporal structure of natural language discourse; and temporal annotation.
Clearly, the necessary technical background for the non-specialist,
explaining the underlying connections across disciplines.
A wide range of students and professionals in academia and industry will
value this book as an introduction and guide to a new and vital technology.
The former include researchers, students, and teachers of natural language
processing, linguistics, artificial intelligence, computational
linguistics, computer science, information retrieval (including the growing
speciality of question-answering), library sciences, human-computer
interaction, and cognitive science. Those in industry include corporate
managers and researchers, software product developers, and engineers in
information-intensive companies, such as on-line database and web-service