13. A system for integrating domain information and semantic parsing to generate meaning representations from natural language input, the system comprising: a computer system comprising one or more physical processors programmed with computer program instructions to: receive a natural language input of a user comprising a natural language utterance in which at least a first input token has been uttered; provide the natural language input to a speech-to-text recognizer; obtain one or more words of the natural language input as an output of the speech-to-text recognizer, wherein the one or more words includes the first input token; obtain a semantic grammar that includes word combinations for intent processing and integrates a plurality of domain tokens relating to an information domain, wherein the semantic grammar integrates the plurality of domain tokens structured into a domain information Finite State Transducer (FST) parser that includes at least a first FST path comprising a first set of domain tokens and a second FST path comprising a second set of domain tokens; compare the plurality of domain tokens with the first input token; and generate a first score for the first FST path and a second score for the second FST path based on the comparison; select the first FST path based on the first score and the second score; determine a semantic structure of the one or more words based on the selected first FST path; generate a representation of an intention of the user based on the semantic structure, wherein the representation is used to execute a natural language based search request or a natural language based command.
13. A system for integrating domain information and semantic parsing to generate meaning representations from natural language input, the system comprising: a computer system comprising one or more physical processors programmed with computer program instructions to: receive a natural language input of a user comprising a natural language utterance in which at least a first input token has been uttered; provide the natural language input to a speech-to-text recognizer; obtain one or more words of the natural language input as an output of the speech-to-text recognizer, wherein the one or more words includes the first input token; obtain a semantic grammar that includes word combinations for intent processing and integrates a plurality of domain tokens relating to an information domain, wherein the semantic grammar integrates the plurality of domain tokens structured into a domain information Finite State Transducer (FST) parser that includes at least a first FST path comprising a first set of domain tokens and a second FST path comprising a second set of domain tokens; compare the plurality of domain tokens with the first input token; and generate a first score for the first FST path and a second score for the second FST path based on the comparison; select the first FST path based on the first score and the second score; determine a semantic structure of the one or more words based on the selected first FST path; generate a representation of an intention of the user based on the semantic structure, wherein the representation is used to execute a natural language based search request or a natural language based command. 18. The system of claim 13 , wherein the computer system is further programmed to: identify a second token that is relevant to the first token and the information domain, wherein the second token is not initially included in the natural language input; and add the second token to the meaning representation.