Slot Filling

Slot filling is an important task in natural language processing, aimed at identifying and extracting different parameters, i.e., target entities, related to user queries from the dialogue. These parameters are crucial for dialogue systems to accurately retrieve and respond to user needs. The main challenge of slot filling lies in efficiently recognizing and extracting key entity information from the dialogue to support complex and varied user interaction scenarios.