In a question-answering (QA) environment, a first answer sequence is identified. As identified, the first answer sequence includes a first answer and a second answer. A corpus is analyzed using the first answer and the second answer. Based on the analysis, a set of influence factors corresponding to both the first answer and the second answer are identified. A first answer relationship between the first answer and the second answer is then generated based on the set of influence factors.
Please help me write a proper abstract based on the patent claims. CLAIM: 1-9. (canceled) 10. A computer program product for generating a first answer relationship in a first answer sequence, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising: identifying the first answer sequence, the first answer sequence including a first answer and a second answer; analyzing, using the first answer and the second answer, a corpus to identify a set of influence factors corresponding to both the first answer and the second answer; and generating, based on the set of influence factors, the first answer relationship between the first answer and the second answer. 11. The computer program product of claim 10, wherein the first answer sequence further includes a third answer, and wherein the method further comprises: analyzing, using the third answer, the corpus to identify a second set of influence factors corresponding to both the first answer and the third answer and further to identify a third set of influence factors corresponding to both the second answer and the third answer; generating, based on the second set of influence factors, a second answer relationship between the first answer and the third answer; and generating, based on the third set of influence factors, a third answer relationship between the first answer and the third answer. 12. The computer program product of claim 11, wherein the method further comprises: evaluating, based on the first answer relationship, further based on the second answer relationship, and further based on the third answer relationship, the answer sequence. 13. The computer program product of claim 10, wherein the method further comprises: assigning a relationship score to the first answer relationship, the relationship score calculated based on the set of influence factors; and evaluating, based on the relationship score, the first answer relationship. 14. The computer program product of claim 13, wherein the evaluating the first answer relationship includes determining that the relationship score is below a relationship contraindication threshold, and wherein the method further comprises: identifying, in response to the determining, the first answer sequence as contraindicated. 15. The computer program product of claim 10, wherein the analyzing, using the first answer and the second answer, the corpus to identify the set of influence factors corresponding to both the first answer and the second answer includes: identifying a first characteristic relationship between the first answer and a characteristic; identifying a second characteristic relationship between the second answer and the characteristic; and identifying, based on comparing the first characteristic relationship and the second characteristic relationship, a first influence factor of the set of influence factors. 16. A system for generating a first answer relationship in a first answer sequence, the system comprising: a memory; and at least one processor in communication with the memory, wherein the at least one processor is configured to perform a method comprising: identifying the first answer sequence, the first answer sequence including a first answer and a second answer; analyzing, using the first answer and the second answer, a corpus to identify a set of influence factors corresponding to both the first answer and the second answer; and generating, based on the set of influence factors, the first answer relationship between the first answer and the second answer. 17. The system of claim 16, wherein the first answer sequence further includes a third answer, and wherein the method further comprises: analyzing, using the third answer, the corpus to identify a second set of influence factors corresponding to both the first answer and the third answer and further to identify a third set of influence factors corresponding to both the second answer and the third answer; generating, based on the second set of influence factors, a second answer relationship between the first answer and the third answer; and generating, based on the third set of influence factors, a third answer relationship between the first answer and the third answer. 18. The system of claim 17, wherein the method further comprises: evaluating, based on the first answer relationship, further based on the second answer relationship, and further based on the third answer relationship, the answer sequence. 19. The system of claim 16, wherein the method further comprises: assigning a relationship score to the first answer relationship, the relationship score calculated based on the set of influence factors; and evaluating, based on the relationship score, the first answer relationship. 20. The system of claim 19, wherein the evaluating the first answer relationship includes determining that the relationship score is below a relationship contraindication threshold, and wherein the method further comprises: identifying, in response to the determining, the first answer sequence as contraindicated. 21. The computer program product of claim 10, wherein the analyzing, using the first answer and the second answer, the corpus to identify the set of influence factors corresponding to both the first answer and the second answer includes: identifying a direct influence relationship between the first answer and the second answer; and identifying, based on the direct influence relationship, a first influence factor of the set of influence factors. 22. The computer program product of claim 10, wherein the analyzing, using the first answer and the second answer, the corpus to identify the set of influence factors corresponding to both the first answer and the second answer includes: parsing, by a natural language processing technique configured to analyze syntactic and semantic content, the corpus. 23. The computer program product of claim 10, wherein the method further comprises: receiving, from a user, a question; parsing, by a natural language processing technique configured to analyze syntactic and semantic content, the question, wherein the identifying the first answer sequence is in response to the parsing; assigning a first relationship score to the first answer relationship, the first relationship score calculated based on the set of influence factors; assigning a first confidence score to the first answer sequence, the first confidence score based in part on the first relationship score; and presenting, the first answer sequence to the user as a response to the question. 24. The system of claim 16, wherein the analyzing, using the first answer and the second answer, the corpus to identify the set of influence factors corresponding to both the first answer and the second answer includes: identifying a first characteristic relationship between the first answer and a characteristic; identifying a second characteristic relationship between the second answer and the characteristic; and identifying, based on comparing the first characteristic relationship and the second characteristic relationship, a first influence factor of the set of influence factors. 25. The system of claim 16, wherein the analyzing, using the first answer and the second answer, the corpus to identify the set of influence factors corresponding to both the first answer and the second answer includes: identifying a direct influence relationship between the first answer and the second answer; and identifying, based on the direct influence relationship, a first influence factor of the set of influence factors. 26. The system of claim 16, wherein the analyzing, using the first answer and the second answer, the corpus to identify the set of influence factors corresponding to both the first answer and the second answer includes: parsing, by a natural language processing technique configured to analyze syntactic and semantic content, the corpus. 27. The computer program product of claim 16, wherein the method further comprises: receiving, from a user, a question; parsing, by a natural language processing technique configured to analyze syntactic and semantic content, the question, wherein the identifying the first answer sequence is in response to the parsing; assigning a first relationship score to the first answer relationship, the first relationship score calculated based on the set of influence factors; assigning a first confidence score to the first answer sequence, the first confidence score based in part on the first relationship score; and presenting, the first answer sequence to the user as a response to the question.