Semantic Frame Based Spoken Language Understanding

Semantic frame based spoken language understanding (frame-based SLU) is one of the most commonly applied and well studied SLU technology for human-computer interaction. It has been used in many speech language processing tasks, in particular the transactional dialog systems, where various pieces of information need to be collected from users. A frame-based SLU system is often limited to a specific domain, which has a well-defined, relatively small semantic space. The structure of the semantic space can be represented by a set of templates called semantic frames, each contains some important component variables that are often referred as slots. The goal of the frame-based SLU is to choose the correct semantic frame for an utterance, and extract from the utterance the values of its component slots.