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. Clear, self-contained
editorial introductions to each area provide 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 providers.
General
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