Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore the computational challenges of automatically interpreting temporal information in natural language texts through this 81-minute lecture by Georgetown University's Graham Katz. Delve into the linguistic and computational frameworks needed to understand how machines can process temporal expressions, event ordering, and time-related semantics in written discourse. Learn about the theoretical foundations of temporal semantics, examine current approaches to automatic temporal annotation, and discover the practical applications for natural language processing systems. Gain insights into the intersection of formal linguistics and computational methods as they apply to temporal reasoning, including discussions of temporal logic, event structure, and the challenges of disambiguating temporal references in real-world texts.
