1. A method, implemented by an information handling system that includes a memory and a processor, that improves a question answering (QA) system by reducing a number of vague questions submitted to the QA system, the method comprising: receiving a question that is submitted to the QA system; performing a vagueness question analysis on the question, wherein the vagueness question analysis results in a vagueness score, and wherein the analysis further: increases the vagueness score based on a set of linguistic features including a prepositional phrase in the question; increases the vagueness score based on the set of linguistic features including a firm superlative in the question; decreases the vagueness score based on the set of linguistic features including an arguable superlative in the question; and decreases the vagueness score based on the set of linguistic features including a referential pronoun in the question; submitting the question to the QA system in response to the vagueness score reaching a threshold value that indicates a lack of vagueness in the question; and inhibiting submission of the question to the QA system in response to the vagueness score failing to reach the threshold value.
1. A method, implemented by an information handling system that includes a memory and a processor, that improves a question answering (QA) system by reducing a number of vague questions submitted to the QA system, the method comprising: receiving a question that is submitted to the QA system; performing a vagueness question analysis on the question, wherein the vagueness question analysis results in a vagueness score, and wherein the analysis further: increases the vagueness score based on a set of linguistic features including a prepositional phrase in the question; increases the vagueness score based on the set of linguistic features including a firm superlative in the question; decreases the vagueness score based on the set of linguistic features including an arguable superlative in the question; and decreases the vagueness score based on the set of linguistic features including a referential pronoun in the question; submitting the question to the QA system in response to the vagueness score reaching a threshold value that indicates a lack of vagueness in the question; and inhibiting submission of the question to the QA system in response to the vagueness score failing to reach the threshold value. 6. The method of claim 1 , further comprising: configuring the vagueness question analysis prior to receiving the question, wherein the configuring comprises: setting the threshold value; setting a first value to use when increasing the vagueness score based on the set of linguistic features including at least one concept in the question; setting a second value to use when increasing the vagueness score based on the set of linguistic features including at least one concept instance in the question; setting a third value to use when increasing the vagueness score based on the set of linguistic features including the prepositional phrase in the question; setting a fourth value to use when increasing the vagueness score based on the set of linguistic features including the firm superlative in the question; setting a fifth value to use when decreasing the vagueness score based on the set of linguistic features including the arguable superlative in the question; and setting a sixth value to use when decreasing the vagueness score based on the set of linguistic features including the referential pronoun in the question.