A method comprises identifying a representation of first statistical information in a document, identifying descriptive text that describes the first statistical information, determining whether the descriptive text accurately describes the first statistical information, and upon determination that the descriptive text does not accurately describe the first statistical information, generating alternative descriptive text that accurately describes the first statistical information.

Improved techniques for combining human tasks with robotic tasks and/or external tasks in an organized manner to define an automation workflow process for use by a software automation system. A workflow process platform can assist a developer in creating an automation workflow process and/or managing performance of an automation workflow process. The automation workflow process can carry out a process, such as a business process, by interrelating human tasks performed by users with robotic tasks performed by computing machines or external tasks performed by applications (e.g., local or cloud-based). The workflow process platform can be network-based and utilize various users and computing machines that are affiliated with different groups (e.g., teams, departments) of an organization. Advantageously, the improved techniques can enable automation of business processes using various persons, robotic agents and/or applications in an organized and controlled manner.

Improved techniques for combining human tasks with robotic tasks and/or external tasks in an organized manner to define an automation workflow process for use by a software automation system. A workflow process platform can assist a developer in creating an automation workflow process and/or managing performance of an automation workflow process. The automation workflow process can carry out a process, such as a business process, by interrelating human tasks performed by users with robotic tasks performed by computing machines or external tasks performed by applications (e.g., local or cloud-based). The workflow process platform can be network-based and utilize various users and computing machines that are affiliated with different groups (e.g., teams, departments) of an organization. Advantageously, the improved techniques can enable automation of business processes using various persons, robotic agents and/or applications in an organized and controlled manner.

A method and system for detecting, segmenting, and extracting salient regions in documents by using attention tracking sensors is provided. The method includes: receiving an image that corresponds to a document; receiving, from a sensor, a sequence of measurements that correspond to a human reading of the document; determining, based on the sequence of measurements, at least one region of the document as being a salient document region; demarcating the salient document region in an electronically displayable manner; and outputting a file that includes a displayable version of the document with the demarcated document region. The salient document region may include a title, a section header, and/or a table. The sensor may be an eye-tracking sensor that detects a sequence of eye-gaze positions on the document as a function of time.

An example method of document classification comprises: detecting a set of keypoints in an input image; generating a set of keypoint vectors, wherein each keypoint vector of the set of keypoint vectors is associated with a corresponding keypoint of the set of keypoints; extracting a feature map from the input image; producing a combination of the set of keypoint vectors with the feature map; transforming the combination into a set of keypoint mapping vectors according to a predefined mapping scheme; estimating, based on the set of keypoint mapping vectors, a plurality of importance factors associated with the set of keypoints; and classifying the input image based on the set of keypoints and the plurality of importance factors.

Systems and methods are provided to determine consensus values for duplicate fields in a document or form.

Systems and methods for identifying a presence of a completed document are disclosed. The system may receive an image file from a client device associated with a first document, identify one or more image regions within the image file corresponding to a presence of one or more extractable data entries, selectively extract the one or more extractable data entries, and determine whether the one or more extractable data entries match one or more stored data entries. When the one or more extractable data entries match, the system may determine the status of the first document as completed. When the one or more extractable data entries do not match, the system may proactively replace one or more inconsistent extractable data entries with corresponding stored data entries to form a corrected first document, and generate a request for a client to verify the corrected first document.

Systems and methods for identifying a presence of a completed document are disclosed. The system may receive an image file from a client device associated with a first document, identify one or more image regions within the image file corresponding to a presence of one or more extractable data entries, selectively extract the one or more extractable data entries, and determine whether the one or more extractable data entries match one or more stored data entries. When the one or more extractable data entries match, the system may determine the status of the first document as completed. When the one or more extractable data entries do not match, the system may proactively replace one or more inconsistent extractable data entries with corresponding stored data entries to form a corrected first document, and generate a request for a client to verify the corrected first document.

An information processing apparatus (10) includes a controller (11) that acquires an image containing a figure and a character string and generates association information indicating an association between the figure and the character string based on a positional relationship between the figure and the character string in the image.

Disclosed is a computer-implemented method for determining a score adjustment for a search document, comprising determining a first attractiveness model of a first document from one or more documents based on one or more user interactions associated with the first document; determining a second attractiveness model of a second document from one or more documents based on one or more user interactions associated with the second document; determining one or more pairwise comparisons of documents based on the first and second attractiveness models of the first and second documents; training an adjustment model based on the pairwise comparisons of documents; and inputting the search document into the adjustment model to determine the score adjustment.