Korean TARSQI

Korean Temporal Awareness and Reasoning Systems for Question Interpretation

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).