1. A method for converting a text sentence into an image sentence, the method comprising: receiving a text sentence comprising a plurality of words, wherein the text sentence includes a verb phrase, and wherein the text sentence is associated with a plurality of semantic roles; querying an image database, the image database having stored therein a plurality of candidate images, at least a portion of which are tagged with image content descriptors; making a determination that none of the candidate images in the image database captures each of the plurality of semantic roles associated with the text sentence; in response to making the determination, generating first and second sentence fragments from the text sentence, wherein each of the first and second sentence fragments is associated with a respective first and second fragmented semantic role; identifying a first subset of the candidate images that are stored in the image database, each of which captures the first fragmented semantic role; generating a first feature vector characterizing the first subset of candidate images stored in the image database; and identifying a first particular one of the candidate images in the first subset that is characterized by features closest to a first mean value derived from the first feature vector.
1. A method for converting a text sentence into an image sentence, the method comprising: receiving a text sentence comprising a plurality of words, wherein the text sentence includes a verb phrase, and wherein the text sentence is associated with a plurality of semantic roles; querying an image database, the image database having stored therein a plurality of candidate images, at least a portion of which are tagged with image content descriptors; making a determination that none of the candidate images in the image database captures each of the plurality of semantic roles associated with the text sentence; in response to making the determination, generating first and second sentence fragments from the text sentence, wherein each of the first and second sentence fragments is associated with a respective first and second fragmented semantic role; identifying a first subset of the candidate images that are stored in the image database, each of which captures the first fragmented semantic role; generating a first feature vector characterizing the first subset of candidate images stored in the image database; and identifying a first particular one of the candidate images in the first subset that is characterized by features closest to a first mean value derived from the first feature vector. 9. The method of claim 1 , further comprising: identifying a first word in the received text sentence as being a verb; identifying a second word in the received text sentence as being an adjunct; and identifying the verb phrase as comprising the first and second words, wherein the first word is included in the first sentence fragment, and the second word is included in the second sentence fragment.