Abstract: A mechanism is provided in a data processing system for assessing question answering system performance. The mechanism receives question answering system results. The question answering system results comprise questions posed to the question answering system, answers returned by the question answering system for each question posed to the question answering system, and a confidence value for each answer. The question answering system is trained or tested using the ground truth questions and answers. The mechanism performs a matching operation comparing each question in the question answering system results to questions in the ground truth. A given question is determined to be on-topic or off-topic based on results of the matching operation. For a plurality of confidence threshold values, the mechanism determines a rightness or wrongness of each answer in the question answering system results.

Abstract: A mechanism is provided in a data processing system for comparing similarity of questioning answer system ground truth answers to question answering system result answers. The mechanism receives question answering system results. The question answering system results comprise questions posed to the question answering system, answers returned by the question answering system for each question posed to the question answering system, and a confidence value for each answer. The question answering system is trained or tested using the ground truth questions and answers. The mechanism performs a matching operation comparing each result answer in the question answering system results to a corresponding ground truth answer. The matching operation is an asymmetric containment comparison and wherein the matching operation determines similarity of each result answer to the corresponding ground truth answer. The mechanism determines whether each result answer is right or wrong based on results of the matching operation.

Abstract: Accurate and concise summarization of a media production is achieved using cognitive analysis which groups segments of the production into clusters based on extracted features, selects a representative segment for each cluster, and combines the representative segments to form a summary. The production is separated into a video stream, a speech stream and an audio stream, from which the cognitive analysis extracts visual features, textual features, and aural features. The clustering groups segments together whose visual and textual features most closely match. Selection of the representative segments derives a score for each segment based on factors including a distance to a centroid of the cluster, an emotion level, an audio uniqueness, and a video uniqueness. Each of these factors can be weighted, and the weights can be adjusted in accordance with user input. The factors can have initial weights which are based on statistical attributes of historical media productions.

Abstract: Accurate and concise summarization of a media production is achieved using cognitive analysis which groups segments of the production into clusters based on extracted features, selects a representative segment for each cluster, and combines the representative segments to form a summary. The production is separated into a video stream, a speech stream and an audio stream, from which the cognitive analysis extracts visual features, textual features, and aural features. The clustering groups segments together whose visual and textual features most closely match. Selection of the representative segments derives a score for each segment based on factors including a distance to a centroid of the cluster, an emotion level, an audio uniqueness, and a video uniqueness. Each of these factors can be weighted, and the weights can be adjusted in accordance with user input. The factors can have initial weights which are based on statistical attributes of historical media productions.

Abstract: A mechanism is provided in a data processing system for comparing similarity of questioning answer system ground truth answers to question answering system result answers. The mechanism receives question answering system results. The question answering system results comprise questions posed to the question answering system, answers returned by the question answering system for each question posed to the question answering system, and a confidence value for each answer. The question answering system is trained or tested using the ground truth questions and answers. The mechanism performs a matching operation comparing each result answer in the question answering system results to a corresponding ground truth answer. The matching operation is an asymmetric containment comparison and wherein the matching operation determines similarity of each result answer to the corresponding ground truth answer. The mechanism determines whether each result answer is right or wrong based on results of the matching operation.

Abstract: A mechanism is provided in a data processing system for assessing question answering system performance. The mechanism receives question answering system results. The question answering system results comprise questions posed to the question answering system, answers returned by the question answering system for each question posed to the question answering system, and a confidence value for each answer. The question answering system is trained or tested using the ground truth questions and answers. The mechanism performs a matching operation comparing each question in the question answering system results to questions in the ground truth. A given question is determined to be on-topic or off-topic based on results of the matching operation. For a plurality of confidence threshold values, the mechanism determines a rightness or wrongness of each answer in the question answering system results.