10. A computer-implemented method employing at least one hardware implemented computer processor for conducting natural language interactions, the method comprising: processing, by an automatic speech recognition (ASR) engine, a first speech input to produce a first speech recognition result; generating a first natural language concept item comprising a first plurality of information fields, wherein each information field of the first plurality of information fields comprises information associated with the first speech recognition result, and the first natural language concept item is associated with a first natural language application; processing, by the ASR engine, a second speech input to produce a second speech recognition result; generating, based on the second speech recognition result, a second natural language concept item comprising a second plurality of information fields, wherein the second natural language concept item is associated with a second natural language application; determining that a first information field of the first plurality of information fields corresponds to a second information field of the second plurality of information fields; and modifying a time field value in the second information field based on a time field value from the first information field.
15. The method according to claim 10 , wherein the second natural language concept item is generated based on a predetermined default value associated with one of the information fields of the first plurality of information fields.