Applying a structured language model to information extraction

A method of extracting information from a natural language input, comprising:

• parsing the natural language input with a structured language model to obtain a parse having a semantic frame label and one or more constituents of the natural language input each having a semantic slot label;
• and
• identifying an information extraction frame corresponding to the natural language input based on the frame label and filling in slots in the frame with the one or more constituents labeled by the slot labels.

An information extraction system for extracting information from a natural language speech input, comprising:

• a speech recognizer, including a structured language model, receiving the natural language speech input and generating a textual representation of the natural language speech input based on language modeling by the structured language model, the structured language model parsing the textual representation to obtain a parse having a semantic frame label and one or more semantic slot labels corresponding to constituents of the textual representation, the semantic frame and slot labels identifying the information to be extracted.

A method of extracting information from a natural language (NL) input, comprising:

• accessing a schema associated with an application program for which the information is extracted, the schema having frames with a frame structure;
• and
• parsing the NL input to obtain a parse having a semantic frame label and one or more semantic slot labels corresponding to constituents of the NL input, the parse being constrained to the frame structure in the schema.