We are working on the Korean version of
Temporal Awareness and Reasoning Systems for
Question Interpretation, following the work of
TARSQI in Brandeis University. Currently, we
are developing the Korean TimeML (Markup
Language for Temporal and Event Expressions).
TimeML is a robust specification language for
events and temporal expressions in natural
language. It is designed to address four
problems in event and temporal expression
markup:
1. Time stamping of events
(identifying an event and anchoring it in
time)
2. Ordering events with respect to one
another (lexical versus discourse properties
of ordering)
3. Reasoning with contextually
underspecified temporal expressions (temporal
functions such as 'last week' and 'two weeks
before')
4. Reasoning about the persistence of
events (how long does an event or the outcome
of an event last)