Abstract: Systems and methods of extracting funding information from text are disclosed herein. The method includes receiving a text document, extracting paragraphs from the text document using a natural language processing model or a machine learning model, and classifying, using a machine learning classifier, the paragraphs as having funding information or not having funding information. The method further includes labeling, using a first annotator, potential entities within the paragraphs classified as having funding information, and labeling, using a second annotator, potential entities within the paragraphs classified as having funding information, where the first annotator implements a first named-entity recognition model and the second annotator implements a second named-entity recognition model that is different from the first named-entity recognition model.

Abstract: Systems and methods of extracting funding information from text are disclosed herein. The method includes receiving a text document, extracting paragraphs from the text document using a natural language processing model or a machine learning model, and classifying, using a machine learning classifier, the paragraphs as having funding information or not having funding information. The method further includes labeling, using a first annotator, potential entities within the paragraphs classified as having funding information, and labeling, using a second annotator, potential entities within the paragraphs classified as having funding information, where the first annotator implements a first named-entity recognition model and the second annotator implements a second named-entity recognition model that is different from the first named-entity recognition model.

Abstract: Electronic system for obtaining data, via one or more digital devices, on user behavior, digital transactions, and exposure relative to digital content and services, or external exposure and associated events between the user and the environment via sensors attached to digital devices, the system being configured to collect data reflecting the content and objects that the user at least potentially perceives as rendered on one or more digital screens attached to smart devices, reconstruct the at least potentially perceived visual landscape based on the collected data, and determine the target and/or level of user attention in view of the reconstruction and associated exposure events detected therein, and to apply locally stored information about rules or fingerprints in the digital object recognition process involving the collected data and validation of the type or identity of user actions, digital content, or external objects, as reflected by the reconstruction recapturing the visual landscape.

Abstract: Electronic system for obtaining data, via one or more digital devices, on user behavior, digital transactions, and exposure relative to digital content and services, or external exposure and associated events between the user and the environment via sensors attached to digital devices, the system being configured to collect data reflecting the content and objects that the user at least potentially perceives as rendered on one or more digital screens attached to smart devices, reconstruct the at least potentially perceived visual landscape based on the collected data, and determine the target and/or level of user attention in view of the reconstruction and associated exposure events detected therein, and to apply locally stored information about rules or fingerprints in the digital object recognition process involving the collected data and validation of the type or identity of user actions, digital content, or external objects, as reflected by the reconstruction recapturing the visual landscape.