Temporal Casual Qa

Temporal/Casual QA is an important task in the field of natural language processing, aiming to understand and answer questions involving temporal or causal relationships. This task involves analyzing temporal cues and causal logic within texts to extract relevant information and accurately respond to user queries. Not only does Temporal/Casual QA enhance the machine's ability to understand complex semantics, but it is also widely applied in intelligent assistants, search engines, and knowledge management systems, improving the interactivity and intelligence of these systems.