Abstract: Techniques for training for and determining a confidence of an output of a machine learning model are disclosed. Such techniques include, in some embodiments, receiving, from the machine learning model configured to receive information associated with a data object, information associated with a predicted structure for the data object; encoding, using a second machine learning model, the information associated with the predicted structure for the data object to produce encoded input channels; evaluating, using the second machine learning model, the information associated with the data object with the encoded input channels; and based on the evaluating, determining, using the second machine learning model, a probability of correctness of the predicted structure for the data object.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed at predicting values for an electronic form. In embodiments, the method can include forming synonym groupings of form field labels for a number of users. The synonym groupings can be based on an analysis of the similarity of form field values that are associated with form field labels. In embodiments a predictive model may be generated from these synonym groupings. The predictive model can correlate the synonym groupings of one user with synonym groupings of one or more additional users to enable a determination of one or more predicted form field values for the one user based on a queried form field label even though the one user may have never submitted an electronic form with the queried form field label. Other embodiments may be described and/or claimed.

Abstract: Systems and methods disclosed herein provide form search results in response to form-specific search criteria. One embodiment involves receiving, at an electronic form search server, input providing form-specific search criteria comprising one or more field characteristics. The embodiment further involves identifying, by the electronic form search server, one or more forms as search results based on form-specific search criteria. The embodiment further involves providing, by the electronic form search server, the search results.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed at predicting values for an electronic form. In embodiments, the method can include forming synonym groupings of form field labels for a number of users. The synonym groupings can be based on an analysis of the similarity of form field values that are associated with form field labels. In embodiments a predictive model may be generated from these synonym groupings. The predictive model can correlate the synonym groupings of one user with synonym groupings of one or more additional users to enable a determination of one or more predicted form field values for the one user based on a queried form field label even though the one user may have never submitted an electronic form with the queried form field label. Other embodiments may be described and/or claimed.

Abstract: Systems and methods disclosed herein provide form search results in response to form-specific search criteria. One embodiment involves receiving, at an electronic form search server, input providing form-specific search criteria comprising one or more field characteristics. The embodiment further involves identifying, by the electronic form search server, one or more forms as search results based on form-specific search criteria. The embodiment further involves providing, by the electronic form search server, the search results.