A mechanism is provided in a data processing system to improve ground truth in a question answering cognitive system. The mechanism trains a similar passage machine learning model for a similar passage cognitive system using a question and answer key to form a trained similar passage machine learning model. The question and answer key comprises a list of question and answer specification pairs forming a ground truth for the question answering cognitive system. Each question is a text string and each answer specification references one or more text passages from a corpus of information. Responsive to a search event, the mechanism sends at least one text input to the similar passage cognitive system operating in accordance with the trained similar passage machine learning model, wherein the text input comprises a given question text string or a given text passage from the question and answer key, and receives from the similar passage cognitive system a response list of references to text passages from the corpus of information. Responsive to an answer acceptance event for at least one text passage from the response list, the mechanism supplements the question and answer key with the at least one text passage to form a supplemented question and answer key. The mechanism trains a question answering machine learning model of the data processing system using the supplemented question and answer key such that the question answering cognitive system operates in accordance with the trained question answering machine learning model.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method, in a data processing system comprising at least one processor and a memory comprising instructions which, when executed by the at least one processor, causes the at least one processor to improve ground truth in a question answering cognitive system, the method comprising: training by the data processing system, a similar passage machine learning model for a similar passage cognitive system using a question and answer key to form a trained similar passage machine learning model, wherein the question and answer key comprises a list of question and answer specification pairs forming a ground truth for a question answering cognitive system, wherein each question is a text string and each answer specification references one or more text passages from a corpus of information; responsive to a search event, sending at least one text input to the similar passage cognitive system operating in accordance with the trained similar passage machine learning model and executing on the at least one processor of the data processing system, wherein the text input comprises a given text passage from a given answer specification of the question and answer key, and receiving from the similar passage cognitive system configured with the trained similar passage machine learning model a response list of references to text passages from the corpus of information that are similar to the given text input; responsive to an acceptance event for at least one text passage from the response list, supplementing, by the data processing system, the question and answer key by adding the at least one text passage to the given answer specification to form a supplemented question and answer key; and training a question answering machine learning model of the data processing system using the supplemented question and answer key such that the question answering cognitive system operates in accordance with the trained question answering machine learning model and executes on the at least one processor of the data processing system. 2. The method of claim 1, further comprising: responsive to a rejection event for a given text passage from the response list, prompting a user to provide a distinguishing question; creating a new question and answer specification pair, wherein the new question and answer specification pair comprises the distinguishing question and an answer specification that references the given text passage; and adding the new question and answer specification pair to the question and answer key to form a supplemented question and answer key. 3. The method of claim 1, further comprising: determining a question and answer specification pair for which the number of text passage references in the answer specification is less than a threshold value; prompting a user to provide at least one additional text passage reference; and amending the answer specification to include the at least one additional text passage reference. 4. The method of claim 1, further comprising: receiving a question and answer pattern key comprising a list of question and answer pattern pairs; and converting the question and answer pattern key to the question and answer key by resolving each answer pattern to an answer specification comprising a list of references to one or more text passages that match the answer pattern from the corpus of information. 5. The method of claim 1, further comprising: receiving a factoid question and answer key comprising a list of question and factoid answer specification pairs; and converting the factoid question and answer key to the question and answer key by resolving each factoid answer specification to an answer specification comprising a list of references to one or more text passages from the corpus of information. 6. The method of claim 1, further comprising automatically generating at least one search event upon completion of an ingestion operation that updates the corpus of information. 7. The method of claim 1, further comprising: invoking at least one search event for at least one text passage of the question and answer key; and populating a user interface with at least one response list received from the at least one search event. 8. The method of claim 7, wherein populating a user interface with at least one response list further comprises reordering the response list according to a text analytical proximity measure for each text passage in the response list relative to the text input sent to the search event that returned the response list. 9. 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 computing device, causes the computing device to improve ground truth in a question answering cognitive system, wherein the computer readable program causes the computing device to: train, by the computing device, a similar passage machine learning model for a similar passage cognitive system using a question and answer key to form a trained similar passage machine learning model, wherein the question and answer key comprises a list of question and answer specification pairs forming a ground truth for a question answering cognitive system, wherein each question is a text string and each answer specification references one or more text passages from a corpus of information; responsive to a search event, send at least one text input to the similar passage cognitive system operating in accordance with the trained similar passage machine learning model and executing on the at least one processor of the computing device, wherein the text input comprises a given text passage from a given answer specification of the question and answer key, and receive from the similar passage cognitive system configured with the trained similar passage machine learning model a response list of references to text passages from the corpus of information that are similar to the given text input; responsive to an acceptance event for at least one text passage from the response list, supplement, by the computing device., the question and answer key by adding the at least one text passage to the given answer specification to form a supplemented question and answer key; and train a question answering machine learning model of the data processing system using the supplemented question and answer key such that the question answering cognitive system operates in accordance with the trained question answering machine learning model and executes on the at least one processor of the computing device. 10. The computer program product of claim 9, wherein the computer readable program further causes the computing device to: responsive to a rejection event for a given text passage from the response list, prompt a user to provide a distinguishing question; create a new question and answer specification pair, wherein the new question and answer specification pair comprises the distinguishing question and an answer specification that references the given text passage; and add the new question and answer specification pair to the question and answer key to form a supplemented question and answer key. 11. The computer program product of claim 9, wherein the computer readable program further causes the computing device to: receive a question and answer pattern key comprising a list of question and answer pattern pairs; and convert the question and answer pattern key to the question and answer key by resolving each answer pattern to an answer specification comprising a list of references to one or more text passages that match the answer pattern from the corpus of information. 12. The computer program product of claim 9, wherein the computer readable program further causes the computing device to: receive a factoid question and answer key comprising a list of question and factoid answer specification pairs; and convert the factoid question and answer key to the question and answer key by resolving each factoid answer specification to an answer specification comprising a list of references to one or more text passages from the corpus of information. 13. The computer program product of claim 9, wherein the computer readable program further causes the computing device to automatically generate at least one search event upon completion of an ingestion operation that updates the corpus of information. 14. The computer program product of claim 9, wherein the computer readable program further causes the computing device to: invoke at least one search event for at least one text passage of the question and answer key; and populate a user interface with at least one response list received from the at least one search event. 15. The computer program product of claim 14, wherein populating a user interface with at least one response list further comprises reordering the response list according to a text analytical proximity measure for each text passage in the response list relative to the text passage sent to the search event that returned the response list. 16. An apparatus comprising: a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to improve ground truth in a question answering cognitive system, wherein the instructions causes the processor to: train a similar passage machine learning model for a similar passage cognitive system using a question and answer key to form a trained similar passage machine learning model, wherein the question and answer key comprises a list of question and answer specification pairs forming a ground truth for a question answering cognitive system, wherein each question is a text string and each answer specification references one or more text passages from a corpus of information; responsive to a search event, send at least one text input to the similar passage cognitive system operating in accordance with the trained similar passage machine learning model and executing on the processor, wherein the text input comprises a given text passage from a given answer specification of the question and answer key, and receive from the similar passage cognitive system configured with the trained similar passage machine learning model a response list of references to text passages from the corpus of information that are similar to the given text input; responsive to an acceptance event for at least one text passage from the response list, supplement the question and answer key by adding the at least one text passage to the given answer specification to form a supplemented question and answer key; and train a question answering machine learning model of the data processing system using the supplemented question and answer key such that the question answering cognitive system operates in accordance with the trained question answering machine learning model. 17. The apparatus of claim 16, wherein the instructions further causes the processor to: responsive to a rejection event for a given text passage from the response list, prompt a user to provide a distinguishing question; create a new question and answer specification pair, wherein the new question and answer specification pair comprises the distinguishing question and an answer specification that references the given text passage; and add the new question and answer specification pair to the question and answer key to form a supplemented question and answer key. 18. The apparatus of claim 16, wherein the instructions further causes the processor to: receive a question and answer pattern key comprising a list of question and answer pattern pairs; and convert the question and answer pattern key to the question and answer key by resolving each answer pattern to an answer specification comprising a list of references to one or more text passages that match the answer pattern from the corpus of information. 19. The apparatus of claim 16, wherein the instructions further causes the processor to: receive a question and answer pattern key comprising a list of question and answer pattern pairs; and convert the question and answer pattern key to the question and answer key by resolving each answer pattern to an answer specification comprising a list of references to one or more text passages that match the answer pattern from the corpus of information. 20. The apparatus of claim 16, wherein the instructions further causes the processor to automatically generate at least one search event upon completion of an ingestion operation that updates the corpus of information. 21. The apparatus of claim 16, wherein the instructions further causes the processor to: invoke at least one search event for at least one text passage of the question and answer key; and populate a user interface with at least one response list received from the at least one search event. 22. The apparatus of claim 21, wherein populating a user interface with at least one response list further comprises reordering the response list according to a text analytical proximity measure for each text passage in the response list relative to the text passage sent to the search event that returned the response list.