Abstract: A computer-implemented method for generating ground-truth for natural language querying may include providing a knowledge graph as data model, receiving a natural language query from a user and translating the natural language query into a formal data query. The method can also include visualizing the formal data query to the user and receiving a feedback response from the user. The feedback response can include a verified and/or edited formal data query. The method can also include storing the natural language query and the corresponding feedback response as ground-truth pair. Corresponding system and a related computer program product may be provided.

Abstract: A plurality of electronic documents comprising one or more document pages are received. First position markers, second position markers and page identifiers are inserted to the pages. The plurality of electronic documents are printed, thereby generating a printed corpus comprising a plurality of printed documents. The plurality of printed documents are scanned, thereby generating a scanned corpus comprising a plurality of scanned images. Scanning frame positions of the first and the second position markers are detected and the detected scanning frame positions and the page positions are used to define affine transformations between the plurality of scanned images and the corresponding document pages. The affine transformations are applied to the plurality of scanned images to align the plurality of scanned images with the corresponding document pages of the plurality of electronic documents.

Abstract: A computer-implemented method for digitizing a document, wherein the document has assigned a classification scheme may be provided. A digital image and an identifier of the classification scheme may be received, the image representing a portion of the document. A segmentation of the image may be determined into one or more image segments; for each of the image segments, content information may be captured from the image segment and a category may be assigned to the image segment, the category being selected from the classification scheme. One or more digitization segments may be selected from the segmentation. A graph model of the document may be populated, wherein each of the digitization segments is represented by a segment node of the graph model.