International Business Machines Corporation

Aaron Chavez

Nicholas A Lineback

Devin R Harper

Elliot B Turner

Robert G Farrell

Alfio Massimiliano Gliozzo

Gaetano Rossiello

Nicolas Rodolfo Fauceglia

Gregory W Schoeninger

Mudita Singhal

A spreadsheet population method, system, and computer program product include associating text with a spreadsheet, the text including candidate data items for populating the spreadsheet, building a multi-dimensional analogy model where each dimension comprises a unique pair of data items where the data items co-occur within a same context window, accepting example data items in the spreadsheet where the data items form tuples in a same implicit relationship according to a spatial configuration, and performing an assistance operation on the spreadsheet using the data item tuples retrieved using the analogy model from the example data items.

Populating spreadsheets using relational information from documents

An approach is provided in which a knowledge manager selects an extraction layer from a convolutional neural network that was trained on an initial set of images. The knowledge manager processes subsequent images obtained from crawling a computer network that includes extracting image feature sets of the subsequent images from the selected extraction layer and generating tags from metadata associated with the subsequent images. In turn, the knowledge manager receives a new image, extracts a new image feature set from the selected extraction layer, and assigns one or more of the tags to the new image based upon evaluating the new image feature set to the image features sets of the subsequent images.

Tagging similar images using neural network

An approach is provided in which a knowledge manager locates centroids in a high-dimensional vector space that are closest to a new image feature set and performs nearest neighbor searches on feature sets included in clusters corresponding to the located centroids. The knowledge manager then selects feature sets closest to the new image feature set based on the nearest neighbor searches and in turn, marks images corresponding to the selected closest features sets as similar images to a new image corresponding to the new image feature set.

Clustering technique for optimized search over high-dimensional space

An approach is provided in which a knowledge manager computes a set of unreasonable answer probabilities based upon a corresponding set of answers. Each of the set of unreasonable answer probabilities indicate a likelihood that its corresponding answer is an unreasonable answer to a question received by the knowledge manager. The knowledge manager determines that one or more unreasonable answers are included in the set of answers based upon determining that their corresponding unreasonable answer probabilities are above a threshold. In turn, the knowledge manager removes the one or more unreasonable answers from the set of answers and provides a modified set of answers to a user.

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Aaron Chavez