Aspects of the present disclosure are directed toward evaluating an answer sequence. Aspects are directed toward receiving a set of answer sequences including a first answer sequence. The first answer sequence may have a first set of answers. Aspects are also directed toward identifying a set of scores coupled with the first set of answers. Aspects are also directed toward determining, based on a subject matter corresponding to the first answer sequence, a set of evaluation rules. Aspects are also directed toward generating, based on the set of scores and the set of evaluation rules, a sequence evaluation score for the first answer sequence.
Please help me write a proper abstract based on the patent claims. CLAIM: 1-12. (canceled) 13. A computer system, comprising: at least one processor; a memory coupled to the at least one processor; an answer sequence evaluation mechanism executed by one or more of the at least one processor, the answer sequence evaluation mechanism including: a receiving module to receive a set of answer sequences including a first answer sequence having a first set of answers; an identifying module to identify a set of scores coupled with the first set of answers; a first determining module to determine, based on a subject matter corresponding to the first answer sequence, a set of evaluation rules; and a generating module to generate, based on the set of scores and the set of evaluation rules, a sequence evaluation score for the first answer sequence. 14. The system of claim 13, further comprising: a computing module to compute, based on the subject matter, a caution value for the first answer sequence; a second determining module to determine, by comparing the caution value to a first caution threshold, that the caution value achieves the first caution threshold; and a selecting module to select, in response to determining that the caution value achieves the first caution threshold, a first evaluation rule. 15. The system of claim 14, wherein: the first evaluation rule identifies, from the set of scores coupled with the first set of answers, a first score of the set of scores, wherein the first score does not achieve a first score threshold; and generating the sequence evaluation score for the first answer sequence includes assigning, to the first answer sequence, the first score as the sequence evaluation score. 16. The system of claim 14, further comprising: a third determining module to determine, by comparing the caution value to a second caution threshold, that the caution value does not achieve the second caution threshold; a second selecting module to select, in response to determining that the caution value does not achieve the second caution threshold, a second evaluation rule. 17. The system of claim 16, wherein: the second evaluation rule calculates, by performing a statistical algorithm on the set of scores, an aggregate score; and generating the sequence evaluation score for the first answer sequence comprises assigning, to the first answer sequence, the aggregate score as the sequence evaluation score. 18. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a first computing device, causes the computing device to: receive a set of answer sequences including a first answer sequence having a first set of answers; identify a set of scores coupled with the first set of answers; determine, based on a subject matter corresponding to the first answer sequence, a set of evaluation rules; and generate, based on the set of scores and the set of evaluation rules, a sequence evaluation score for the first answer sequence. 19. The computer program product of claim 18, further comprising computer readable program code configured to: evaluate, using a natural language processing technique configured to parse semantic and syntactic content, context data; determine, in response to evaluating the context data, that the context data achieves a satisfaction criterion; and select, in response to determining that the context data achieves the satisfaction criterion, a third evaluation rule. 20. The computer program product of claim 19, wherein: the third evaluation rule further comprises: assigning, based on the context data, a first weighting value to a first answer category of a set of answer categories, assigning, based on the context data, a second weighting value to a second answer category of the set of answer categories, and calculating, by a statistical algorithm using the first weighting value and the second weighting value, an aggregate score; and generating the sequence evaluation score for the first answer sequence includes assigning, to the first answer sequence, the aggregate score as the sequence evaluation score.