A method, system and computer-usable medium are disclosed for using table-based groundtruth to train a question-answer (QA) system, comprising: receiving a corpus of text comprising unstructured text and a table; performing QA pair generation operations on the unstructured text and the table to generate QA pairs, the QA pairs being based upon information obtained from the table; assigning a score to each QA pair, the score corresponding to an indicator of user interest.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method for using table-based groundtruth to train a question-answer (QA) system, comprising: receiving a corpus of text comprising unstructured text and a table; performing QA pair generation operations on the table to generate QA pairs, the QA pairs being based upon information obtained from the table; assigning a score to each QA pair, the score corresponding to an indicator of user interest. 2. The method of claim 1, further comprising: using the scored QA pairs as table-based groundtruth to train a QA system. 3. The method of claim 2, wherein: the score for an individual QA pair is increased if a given term in the QA pairs is used in the unstructured text. 4. The method of claim 2, wherein: the score for an individual QA pair is increased if a concept associated with a given term in the QA pair is referenced in the unstructured text. 5. The method of claim 2, wherein: the score for an individual QA pair is increased if the a QA pair is derived from unstructured text that references at least one of a table, column label data, row label data, and a table cell. 6. The method of claim 2, wherein: the score for an individual QA pair is increased if a question of a QA pair refers to a relationship that is detected in the unstructured text that references at least one of a table, column label data, row label data, and a table cell. 7. A system comprising: a processor; a data bus coupled to the processor; and a computer-usable medium embodying computer program code, the computer-usable medium being coupled to the data bus, the computer program code used for using table-based groundtruth to train a question-answer (QA) system and comprising instructions executable by the processor and configured for: receiving a corpus of text comprising unstructured text and a table; performing QA pair generation operations on the table to generate QA pairs, the QA pairs being based upon information obtained from the table; assigning a score to each QA pair, the score corresponding to an indicator of user interest. 8. The system of claim 7, wherein the instructions are further configured for: using the scored QA pairs as table-based groundtruth to train a QA system. 9. The system of claim 8, wherein: the score for an individual QA pair is increased if a given term in the QA pairs is used in the unstructured text. 10. The system of claim 8, wherein: the score for an individual QA pair is increased if a concept associated with a give term in the QA pair is referenced in the unstructured text. 11. The system of claim 8, wherein using the set of questions further comprises: the score for an individual QA pair is increased if the a QA pair is derived from unstructured text that references at least one of a table, column label data, row label data, and a table cell. 12. The system of claim 8, wherein: the score for an individual QA pair is increased if a question of a QA pair refers to a relationship that is detected in the unstructured text that references at least one of a table, column label data, row label data, and a table cell. 13. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for: receiving a corpus of text comprising unstructured text and a table; performing QA pair generation operations on the table to generate QA pairs, the QA pairs being based upon information obtained from the table; assigning a score to each QA pair, the score corresponding to an indicator of user interest. 14. The non-transitory, computer-readable storage medium of claim 13, wherein the instructions are further configured for: using the scored QA pairs as table-based groundtruth to train a QA system. 15. The non-transitory, computer-readable storage medium of claim 14, wherein: the score for an individual QA pair is increased if a given term in the QA pairs is used in the unstructured text. 16. The non-transitory, computer-readable storage medium of claim 14, wherein using the set of questions further comprises: the score for an individual QA pair is increased if a concept associated with a give term in the QA pair is referenced in the unstructured text. 17. The non-transitory, computer-readable storage medium of claim 14, wherein: the score for an individual QA pair is increased if the a QA pair is derived from unstructured text that references at least one of a table, column label data, row label data, and a table cell. 18. The non-transitory, computer-readable storage medium of claim 14, wherein: the score for an individual QA pair is increased if a question of a QA pair refers to a relationship that is detected in the unstructured text that references at least one of a table, column label data, row label data, and a table cell. 19. The non-transitory, computer-readable storage medium of claim 13, wherein the computer executable instructions are deployable to a client system from a server system at a remote location. 20. The non-transitory, computer-readable storage medium of claim 13, wherein the computer executable instructions are provided by a service provider to a user on an on-demand basis.