Abstract: An approach is provided for an information handling system that includes a processor and a memory to improve the quality of question-answer sets used as inputs to a question-answering (QA) system. In the approach, a question-answer pair is analyzed using natural language processing (NLP) components. Some of the NLP components may be taken from the QA system whose input is being analyzed The question-answer pair includes a question and an answer to the question. Based on the analysis, one or more shortcomings of the question-answer pair are identified. The shortcomings relate to an ability of the target QA system to analyze the question. A human-readable feedback is provided to a user. The feedback recommends one or more possible actions to address the identified shortcomings.

Abstract: An approach is described of query processing via a lambda application including a batch processing layer and a speed processing layer. The approach may improve speed and efficiency with respect to computation of query results associated with the batch processing layer. A method pertaining to such approach may include receiving a query including an initial timeframe and computing partial query results within the initial timeframe. The partial query results within the initial timeframe may include a result for data associated with the speed processing layer and results for a first set of data segments associated with the batch processing layer. The method further may include combining the partial query results within the initial timeframe into a final query result. The method further may include computing partial query results outside of the initial timeframe including results for a second set of data segments associated with the batch processing layer.

Abstract: An approach is described of query processing via a lambda application including a batch processing layer and a speed processing layer. The approach may improve speed and efficiency with respect to computation of query results associated with the batch processing layer. A method pertaining to such approach may include receiving a query including an initial timeframe and computing partial query results within the initial timeframe. The partial query results within the initial timeframe may include a result for data associated with the speed processing layer and results for a first set of data segments associated with the batch processing layer. The method further may include combining the partial query results within the initial timeframe into a final query result. The method further may include computing partial query results outside of the initial timeframe including results for a second set of data segments associated with the batch processing layer.

Abstract: An approach is described of query processing via a lambda application including a batch processing layer and a speed processing layer. The approach may improve speed and efficiency with respect to computation of query results associated with the batch processing layer. A method pertaining to such approach may include receiving a query including an initial timeframe and computing partial query results within the initial timeframe. The partial query results within the initial timeframe may include a result for data associated with the speed processing layer and results for a first set of data segments associated with the batch processing layer. The method further may include combining the partial query results within the initial timeframe into a final query result. The method further may include computing partial query results outside of the initial timeframe including results for a second set of data segments associated with the batch processing layer.

Abstract: An approach is described of query processing via a lambda application including a batch processing layer and a speed processing layer. The approach may improve speed and efficiency with respect to computation of query results associated with the batch processing layer. A method pertaining to such approach may include receiving a query including an initial timeframe and computing partial query results within the initial timeframe. The partial query results within the initial timeframe may include a result for data associated with the speed processing layer and results for a first set of data segments associated with the batch processing layer. The method further may include combining the partial query results within the initial timeframe into a final query result. The method further may include computing partial query results outside of the initial timeframe including results for a second set of data segments associated with the batch processing layer.

Abstract: An approach is provided for an information handling system that includes a processor and a memory to improve the quality of question-answer sets used as inputs to a question-answering (QA) system. In the approach, a question-answer pair is analyzed using natural language processing (NLP) components. Some of the NLP components may be taken from the QA system whose input is being analyzed The question-answer pair includes a question and an answer to the question. Based on the analysis, one or more shortcomings of the question-answer pair are identified. The shortcomings relate to an ability of the target QA system to analyze the question. A human-readable feedback is provided to a user. The feedback recommends one or more possible actions to address the identified shortcomings.

Abstract: An approach is provided for an information handling system that includes a processor and a memory to improve the quality of question-answer sets used as inputs to a question-answering (QA) system. In the approach, a question-answer pair is analyzed using natural language processing (NLP) components. Some of the NLP components may be taken from the QA system whose input is being analyzed The question-answer pair includes a question and an answer to the question. Based on the analysis, one or more shortcomings of the question-answer pair are identified. The shortcomings relate to an ability of the target QA system to analyze the question. A human-readable feedback is provided to a user. The feedback recommends one or more possible actions to address the identified shortcomings.

Abstract: An approach is provided for an information handling system that includes a processor and a memory to improve the quality of question-answer sets used as inputs to a question-answering (QA) system. In the approach, a question-answer pair is analyzed using natural language processing (NLP) components. Some of the NLP components may be taken from the QA system whose input is being analyzed The question-answer pair includes a question and an answer to the question. Based on the analysis, one or more shortcomings of the question-answer pair are identified. The shortcomings relate to an ability of the target QA system to analyze the question. A human-readable feedback is provided to a user. The feedback recommends one or more possible actions to address the identified shortcomings.