1. A method for operating a virtual assistant on an electronic device, the method comprising: receiving a textual representation of user speech; identifying a candidate named entity from the textual representation of user speech, wherein the candidate named entity is associated with a plurality of saliency scores, each saliency score of the plurality of saliency scores representing a relationship strength between the candidate named entity and a respective domain of a plurality of domains; determining possible parts of speech of the candidate named entity; determining whether the possible parts of speech of the candidate named entity comprises one or more of a predetermined set of parts of speech; in response to determining that the possible parts of speech of the candidate named entity do not comprise one or more of the predetermined set of parts of speech, lowering a saliency score of the plurality of saliency scores associated with the candidate named entity; identifying a domain of the plurality of domains for processing the textual representation of user speech based at least in part on the lowered saliency score associated with the candidate named entity; and performing, by the virtual assistant, one or more tasks based on the identified domain to present an output.
1. A method for operating a virtual assistant on an electronic device, the method comprising: receiving a textual representation of user speech; identifying a candidate named entity from the textual representation of user speech, wherein the candidate named entity is associated with a plurality of saliency scores, each saliency score of the plurality of saliency scores representing a relationship strength between the candidate named entity and a respective domain of a plurality of domains; determining possible parts of speech of the candidate named entity; determining whether the possible parts of speech of the candidate named entity comprises one or more of a predetermined set of parts of speech; in response to determining that the possible parts of speech of the candidate named entity do not comprise one or more of the predetermined set of parts of speech, lowering a saliency score of the plurality of saliency scores associated with the candidate named entity; identifying a domain of the plurality of domains for processing the textual representation of user speech based at least in part on the lowered saliency score associated with the candidate named entity; and performing, by the virtual assistant, one or more tasks based on the identified domain to present an output. 6. The method of claim 1 , wherein the predetermined set of parts of speech consists of a noun, a proper noun, and an unknown part of speech.